**Research Area/ Research Interest: Graphs clustering **

**Research Paper Topics for** Masters and Ph.D. Thesis and publication

- Topological clustering of multilayer networks
- The mathematical foundations of epistemic network analysis
- Multilayer representation of collaboration networks with higher-order interactions
- A graph-based clustering algorithm for software systems modularization
- One-step multi-view subspace clustering with incomplete views
- Online graph dictionary learning
- Strongly local hypergraph diffusions for clustering and semi-supervised learning
- Supervised model predictive control of large-scale electricity networks via clustering methods
- Graph clustering via variational graph embedding
- Effective hierarchical clustering based on structural similarities in nearest neighbor graphs
- A graph clustering approach to localization for adaptive covariance tuning in data assimilation based on state-observation mapping
- Using projection-based clustering to find distance-and density-based clusters in high-dimensional data
- A hierarchical clustering method of hydrogen bond networks in liquid water undergoing shear flow
- Joint spectral clustering based on optimal graph and feature selection
- A clustering perspective of the Collatz conjecture
- One-way dependent clusters and stability of cluster synchronization in directed networks
- Graph regularized autoencoder and its application in unsupervised anomaly detection
- Transform-based graph topology similarity metrics
- Multi-view attributed graph clustering
- Multi-view data clustering via non-negative matrix factorization with manifold regularization
- Deep face clustering using residual graph convolutional network
- Phase transition in spectral clustering based on resistance matrix
- Sisa: Set-centric instruction set architecture for graph mining on processing-in-memory systems
- Research on the natural language recognition method based on cluster analysis using neural network
- Multi-view low rank sparse representation method for three-way clustering
- Consensus graph learning for multi-view clustering
- Ensemble-based clustering of large probabilistic graphs using neighborhood and distance metric learning
- Spectral embedded generalized mean based k-nearest neighbors clustering with S-distance
- Windowed fractional Fourier transform on graphs: Properties and fast algorithm
- Graph Metrics for Network Robustness—A Survey
- Combinatorics, big data, neural network & AI for medicinal chemistry & drug administration
- An efficient DA-net architecture for lung nodule segmentation
- Mining Complex Networks
- Higher-order network analysis takes off, fueled by classical ideas and new data
- Singularities of eight-and nine-particle amplitudes from cluster algebras and tropical geometry
- A survey on data integration for multi-omics sample clustering
- SAG Cluster: An unsupervised graph clustering based on collaborative similarity for community detection in complex networks
- Nonbacktracking eigenvalues under node removal: X-centrality and targeted immunization
- Density peaks clustering based on k-nearest neighbors and self-recommendation
- Graph infoclust: Maximizing coarse-grain mutual information in graphs
- PC2P: parameter-free network-based prediction of protein complexes
- Truncated cluster algebras and Feynman integrals with algebraic letters
- Federated graph classification over non-iid graphs
- District metered area design through multicriteria and multiobjective optimization
- Clustering for epidemics on networks: A geometric approach
- Characterizing microservice dependency and performance: Alibaba trace analysis
- Analyzing temporal patterns of topic diversity using graph clustering
- SSC: Clustering of Turkish texts by spectral graph partitioning
- Fully automated precise operational modal identification
- Graph Filter-based Multi-view Attributed Graph Clustering.
- Kernelized multi-view subspace clustering via auto-weighted graph learning
- Cluster algebras for Feynman integrals
- Simultaneous learning coefficient matrix and affinity graph for multiple kernel clustering
- Graph Debiased Contrastive Learning with Joint Representation Clustering.
- Spectral methods for data science: A statistical perspective
- Distance two surjective labelling of paths and interval graphs
- Clustered 3-colouring graphs of bounded degree
- Graph neural networks for particle tracking and reconstruction
- A robust spectral clustering algorithm based on grid-partition and decision-graph
- On folded cluster patterns of affine type
- Consensus function based on cluster-wise two level clustering
- Dual distance adaptive multiview clustering
- A fast fuzzy clustering algorithm for complex networks via a generalized momentum method
- A tight approximation algorithm for the cluster vertex deletion problem
- Mathematical model of integration of cyber-physical systems for solving problems of increasing the competitiveness of the regions of the Russian Federation
- Coupled hypergraph maps and chaotic cluster synchronization
- Clustered Routing Method in the Internet of Things Using a Moth-Flame Optimization Algorithm
- Fast parameter-free multi-view subspace clustering with consensus anchor guidance
- Combining conflicting evidence based on Pearson correlation coefficient and weighted graph
- A comprehensive survey of image segmentation: clustering methods, performance parameters, and benchmark datasets
- A Mathematical Study of Barcelona Metro Network
- A multiscale spectral features graph fusion method for hyperspectral band selection
- Chief: Clustering with higher-order motifs in big networks
- Multi-view graph embedding clustering network: Joint self-supervision and block diagonal representation
- Investigating spatial heterogeneity within fracture networks using hierarchical clustering and graph distance metrics
- Solving correlation clustering with QAOA and a Rydberg qudit system: a full-stack approach
- Introduction to Cluster Algebras. Chapter 7
- Structural analysis of nanoscale network materials using graph theory
- Self-supervised graph convolutional network for multi-view clustering
- Identifying the skeptics and the undecided through visual cluster analysis of local network geometry
- Reinforcement number of a graph with respect to half-domination
- Cell production system design: a literature review
- Gender by racial/ethnic intersectionality in the patterns of Adolescents’ math motivation and their math achievement and engagement
- Deep multilevel graph partitioning
- Hybrid fruit-fly optimization algorithm with k-means for text document clustering
- Brain graph synthesis by dual adversarial domain alignment and target graph prediction from a source graph
- Measuring diversity in graph learning: a unified framework for structured multi-view clustering
- Multi-view document clustering based on geometrical similarity measurement
- scGNN is a novel graph neural network framework for single-cell RNA-Seq analyses
- Gene selection for microarray data classification via multi-objective graph theoretic-based method
- Cluster-driven graph federated learning over multiple domains
- Two-pathogen model with competition on clustered networks
- Robust rank-constrained sparse learning: a graph-based framework for single view and multiview clustering
- SpaGCN: Integrating gene expression, spatial location and histology to identify spatial domains and spatially variable genes by graph convolutional network
- Market graph clustering via QUBO and digital annealing
- One-step multiview subspace segmentation via joint skinny tensor learning and latent clustering
- Fractional time-delay mathematical modeling of Oncolytic Virotherapy
- Magnet: A neural network for directed graphs
- An improved community detection algorithm via fusing topology and attribute information
- Graph contrastive clustering
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- WC-KNNG-PC: Watershed clustering based on k-nearest-neighbor graph and Pauta Criterion
- A community detection algorithm based on graph compression for large-scale social networks
- Development of novel combustion risk index for flammable liquids based on unsupervised clustering algorithms
- What are higher-order networks?
- The law of attraction: Affinity-aware placement optimization using graph neural networks
- Graph regularized residual subspace clustering network for hyperspectral image clustering
- Parameterized dynamic cluster editing
- Hidden qubit cluster states
- SRAGL-AWCL: A two-step multi-view clustering via sparse representation and adaptive weighted cooperative learning
- Design and analysis of a cluster-based intelligent hybrid recommendation system for e-learning applications
- A comprehensive survey of clustering algorithms: State-of-the-art machine learning applications, taxonomy, challenges, and future research prospects
- GBK-means clustering algorithm: An improvement to the K-means algorithm based on the bargaining game
- On analyzing graphs with motif-paths
- Learning graphons via structured gromov-wasserstein barycenters
- A new ensemble method for detecting anomalies in gene expression matrices
- Graph self-supervised learning: A survey
- Multi-view clustering via deep concept factorization
- Understanding digitally enabled complex networks: a plural granulation based hybrid community detection approach
- A large-deviations principle for all the cluster sizes of a sparse Erdős–Rényi graph
- Block-wise variable selection for clustering via latent states of mixture models
- Hypergraph dissimilarity measures
- Self-supervised graph convolutional clustering by preserving latent distribution
- Improved Time-Series Clustering with UMAP dimension reduction method
- Mining communities and their descriptions on attributed graphs: a survey
- Decimated Framelet System on Graphs and Fast G-Framelet Transforms.
- GCN2CDD: a commercial district discovery framework via embedding space clustering on graph convolution networks
- Decoupling representation learning and classification for gnn-based anomaly detection
- Integrating T cell receptor sequences and transcriptional profiles by clonotype neighbor graph analysis (CoNGA)
- On the mathematics of swarming: emergent behavior in alignment dynamics
- Incremental face clustering with optimal summary learning via graph convolutional network
- Generalized spectral clustering via Gromov-Wasserstein learning
- Understanding pooling in graph neural networks
- Plasticity-on-chip design: Exploiting self-similarity for data communications
- An effective link-based clustering algorithm for detecting overlapping protein complexes in protein-protein interaction networks
- A Novel Brain MRI Image Segmentation Method Using an Improved Multi-View Fuzzy c-Means Clustering Algorithm
- Ship AIS trajectory clustering: An HDBSCAN-based approach
- Students’ coping with the self-regulatory demand of crisis-driven digitalization in university mathematics instruction: do motivational and emotional orientations make a …
- Percolation in complex networks
- Deep embedding clustering based on contractive autoencoder
- A data-driven heart disease prediction model through K-means clustering-based anomaly detection
- Height function delocalisation on cubic planar graphs
- Cluster synchronization of networks via a canonical transformation for simultaneous block diagonalization of matrices
- Graph-based tag recommendations using clusters of patients in clinical decision support system
- Projective multiple kernel subspace clustering
- QUBO formulations for training machine learning models
- Cycle factors in randomly perturbed graphs
- Multi-VAE: Learning disentangled view-common and view-peculiar visual representations for multi-view clustering
- Model-free optimal control of linear multiagent systems via decomposition and hierarchical approximation
- Analysis and application of semantic networks in education
- Machine-learning mathematical structures
- A general transfer learning-based Gaussian mixture model for clustering
- Decision-based scenario clustering for decision-making under uncertainty
- Roles and research trends of artificial intelligence in mathematics education: A bibliometric mapping analysis and systematic review
- A solution-driven multilevel approach for graph coloring
- Coresets for clustering in excluded-minor graphs and beyond
- Multi-manifold optimization for multi-view subspace clustering
- Review of level set in image segmentation
- A graph deep learning approach for urban building grouping
- Cluster synchronization on hypergraphs
- Convex relaxation methods for community detection
- Learning a proposal classifier for multiple object tracking
- Separating layered treewidth and row treewidth
- Cleora: A simple, strong and scalable graph embedding scheme
- Multi-particle reconstruction in the High Granularity Calorimeter using object condensation and graph neural networks
- A generalized average linkage criterion for Hierarchical Agglomerative Clustering
- A unified lottery ticket hypothesis for graph neural networks
- S-shaped and V-shaped gaining-sharing knowledge-based algorithm for feature selection
- Hyperspectral image clustering: Current achievements and future lines
- Multi-task optimization and multi-task evolutionary computation in the past five years: A brief review
- Parent grain reconstruction from partially or fully transformed microstructures in MTEX
- Homological percolation transitions in growing simplicial complexes
- Metric dimension and edge metric dimension of windmill graphs
- Estimation and clustering in popularity adjusted block model
- DNC: A deep neural network-based clustering-oriented network embedding algorithm
- Understanding graph embedding methods and their applications
- A weighted network community detection algorithm based on deep learning
- A novel cluster detection of COVID-19 patients and medical disease conditions using improved evolutionary clustering algorithm star
- Overlapping community detection by constrained personalized PageRank
- On the radius of Gaussian free field excursion clusters
- Hypergraph cuts with general splitting functions
- Geometric structure of graph Laplacian embeddings.
- A survey on parallel clustering algorithms for big data
- Introduction to graph signal processing
- A reduced model for complex network analysis of public transportation systems
- Minimum-distortion embedding
- Tree-partitioning as an emergency measure to contain cascading line failures
- Temporally-weighted hierarchical clustering for unsupervised action segmentation
- Lattice bijections for string modules, snake graphs and the weak Bruhat order
- Scaling up graph neural networks via graph coarsening
- Symbol alphabets from tensor diagrams
- Scalable Shared-Memory Hypergraph Partitioning∗
- Sombor index of certain graphs
- Elastic graph neural networks
- Self-supervised learning of graph neural networks: A unified review
- Hierarchical clustering with discrete latent variable models and the integrated classification likelihood
- Posterior consistency of semi-supervised regression on graphs
- Sound detection monitoring tool in CNC milling sounds by K-means clustering algorithm
- MLPF: efficient machine-learned particle-flow reconstruction using graph neural networks
- Learning deep sparse regularizers with applications to multi-view clustering and semi-supervised classification
- Semi-supervised classification of graph convolutional networks with Laplacian rank constraints
- Measuring the network vulnerability based on Markov criticality
- A review of medical image segmentation algorithms
- Sombor index of polymers
- The two-loop remainder function for eight and nine particles
- Finite-time and fixed-time bipartite synchronization of complex networks with signed graphs
- Emergence of cooperation in spatial social dilemmas with expulsion
- Multilevel combinatorial optimization across quantum architectures
- Application and evaluation of knowledge graph embeddings in biomedical data
- Adaptive cluster-based heuristic approach in cognitive radio networks for 5G applications
- How do hyperedges overlap in real-world hypergraphs?-patterns, measures, and generators
- A multilevel clustering technique for community detection
- A Hierarchical Block Distance Model for Ultra Low-Dimensional Graph Representations
- Targeted pandemic containment through identifying local contact network bottlenecks
- A note on letters of Yangian invariants
- Group testing with a graph infection spread model
- LPA-MNI: an improved label propagation algorithm based on modularity and node importance for community detection
- Impact of fracture geometry and topology on the connectivity and flow properties of stochastic fracture networks
- A survey of community detection methods in multilayer networks
- Recursive MAGUS: Scalable and accurate multiple sequence alignment
- Statistical shape analysis of brain arterial networks (ban)
- Graph neural network encoding for community detection in attribute networks
- Community detection in social recommender systems: a survey
- Training graph neural networks with 1000 layers
- Seastar: vertex-centric programming for graph neural networks
- A survey of RDF stores & SPARQL engines for querying knowledge graphs
- On approximability of clustering problems without candidate centers
- Explainability of neural network clustering in interpreting the COVID-19 emergency data
- Recent advances in fully dynamic graph algorithms
- Flipped-OCN method in mathematics learning to analyze the attitudes of pre-service teachers
- Methodology and models for individuals’ creditworthiness management using digital footprint data and machine learning methods
- Mapping and clustering analysis on environmental, social and governance field a bibliometric analysis using Scopus
- Parameterized algorithms for the happy set problem
- Review on optimization methodologies in transmission network reconfiguration of power systems for grid resilience
- Deep graph mapper: Seeing graphs through the neural lens
- Identification of bovine, porcine and fish gelatin signatures using chemometrics fuzzy graph method
- Topic analysis and development in knowledge graph research: A bibliometric review on three decades
- Percolation on complex networks: Theory and application
- Survey on botnet detection techniques: classification, methods, and evaluation
- Clustering mixed numerical and categorical data with missing values
- Fuzzy C-Means clustering algorithm for data with unequal cluster sizes and contaminated with noise and outliers: Review and development
- A novel community detection based genetic algorithm for feature selection
- Notes on cluster algebras and some all-loop Feynman integrals
- Multi-view attribute graph convolution networks for clustering
- Algebraic branch points at all loop orders from positive kinematics and wall crossing
- Generative hypergraph clustering: From blockmodels to modularity
- A weighted K-member clustering algorithm for K-anonymization
- A modified DeepWalk method for link prediction in attributed social network
- Multiview subspace clustering using low-rank representation
- A clustering detector with graph theory for blind detection of spatial modulation systems
- Optimization of fuzzy c-means clustering algorithm with combination of minkowski and chebyshev distance using principal component analysis
- Interpretable clustering: an optimization approach
- Statistical hierarchical clustering algorithm for outlier detection in evolving data streams
- Model-based deep embedding for constrained clustering analysis of single cell RNA-seq data
- SciKGraph: A knowledge graph approach to structure a scientific field
- Fast similarity computation for t-SNE
- Directed closure coefficient and its patterns
- Automation of economic activity management of high-tech structures of innovation-oriented clusters
- Power-law bounds for critical long-range percolation below the upper-critical dimension
- A survey of community detection approaches: From statistical modeling to deep learning
- Laser-induced breakdown spectroscopy and chemometric analysis of black toners for forensic applications
- Skin cancer detection from dermoscopic images using deep learning and fuzzy k-means clustering
- One-step spectral rotation clustering for imbalanced high-dimensional data
- A classification of community detection methods in social networks: a survey
- SNN_flow: a shared nearest-neighbor-based clustering method for inhomogeneous origin-destination flows
- Lagrangian fillings for Legendrian links of finite type
- Automatic clustering method to segment COVID-19 CT images
- Skein and cluster algebras of marked surfaces without punctures for
- Balance and fragmentation in societies with homophily and social balance
- Datasets Finders and Best Public Datasets for Machine Learning and Data Science Applications
- Tangle-tree duality in abstract separation systems
- Graph-Based Link Prediction between Human Phenotypes and Genes
- A novel hybrid fuzzy time series model for prediction of COVID-19 infected cases and deaths in India
- Rubik: A hierarchical architecture for efficient graph neural network training
- Learning a self-expressive network for subspace clustering
- Evolutionary algorithm and multifactorial evolutionary algorithm on clustered shortest-path tree problem
- World model as a graph: Learning latent landmarks for planning
- Mathematical modeling and a hybrid evolutionary algorithm for process planning
- Semisupervised affinity matrix learning via dual-channel information recovery
- Fuzzy mixed graphs and its application to identification of COVID19 affected central regions in India
- Towards unsupervised deep graph structure learning
- Fuzzy community detection on the basis of similarities in structural/attribute in large-scale social networks
- Nonlinear manifold learning in functional magnetic resonance imaging uncovers a low-dimensional space of brain dynamics
- Imputing single-cell RNA-seq data by considering cell heterogeneity and prior expression of dropouts
- A comparison of 71 binary similarity coefficients: The effect of base rates
- Clusterability in neural networks
- Generalized and scalable trajectory inference in single-cell omics data with VIA
- Deep learning on graphs for natural language processing
- Efficient network immunization under limited knowledge
- Multi-objective lifecycle optimization for oil palm fertilizer formulation: A hybrid P-graph and TOPSIS approach
- Multi-level parallel scheduling of dependent-tasks using graph-partitioning and hybrid approaches over edge-cloud
- A review of q-rung orthopair fuzzy information: bibliometrics and future directions
- Validating clustering frameworks for electric load demand profiles
- Percolation and the pandemic
- Approximate counting and sampling via local central limit theorems
- Memetic differential evolution methods for clustering problems
- Covariate regularized community detection in sparse graphs
- Understanding evolution of maritime networks from automatic identification system data
- Unsupervised classification of AVIRIS-NG hyperspectral images
- A density-peak-based clustering algorithm of automatically determining the number of clusters
- A stable community detection approach for complex network based on density peak clustering and label propagation
- CANE: community-aware network embedding via adversarial training
- One-size does not fit all: Towards an adaptive model to develop preservice teachers’ digital competencies
- A three-way density peak clustering method based on evidence theory
- Semi-supervised classification by graph p-laplacian convolutional networks
- The impact of integrated cluster-based storage allocation on parts-to-picker warehouse performance
- Modeling nonlinear dynamics of fluency development in an embodied-design mathematics learning environment with Recurrence Quantification Analysis
- A novel UAV path planning algorithm to search for floating objects on the ocean surface based on object’s trajectory prediction by regression
- Cluster-based flow control in hybrid software-defined wireless sensor networks
- A multi-view clustering algorithm for mixed numeric and categorical data
- Deep multi-kernel auto-encoder network for clustering brain functional connectivity data
- A mathematical perspective on edge-centric functional connectivity
- Charged particle tracking via edge-classifying interaction networks
- Graph representation learning for single-cell biology
- What do we see when we look at networks: Visual network analysis, relational ambiguity, and force-directed layouts
- A comprehensive survey on graph anomaly detection with deep learning
- Graph neural networks in network neuroscience
- Structure, characteristics and connectivity analysis of the asian-australasian cruise shipping network
- Clustering using kernel entropy principal component analysis and variable kernel estimator
- Diversity and consistency embedding learning for multi-view subspace clustering
- DQRE-SCnet: a novel hybrid approach for selecting users in federated learning with deep-Q-reinforcement learning based on spectral clustering
- Building a fuzzy classifier based on whale optimization algorithm to detect network intrusions
- A survey on graph-based deep learning for computational histopathology
- COVID-19 mortality prediction using machine learning-integrated Random Forest algorithm under varying patient frailty
- Gudermannian neural networks using the optimization procedures of genetic algorithm and active set approach for the three-species food chain nonlinear …
- A new hybrid routing protocol using a modified K-means clustering algorithm and continuous hopfield network for VANET
- Nyström-based spectral clustering using airborne LiDAR point cloud data for individual tree segmentation
- Directional graph networks
- Control and optimization of air traffic networks
- Sampling methods for efficient training of graph convolutional networks: A survey
- … analysis between the experimental and numeric methods on viscosity of zirconium oxide nanofluid: Developing optimal artificial neural network and new mathematical …
- GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks
- Pre-university students’ mathematical connections when sketching the graph of derivative and antiderivative functions
- Contrastive self-supervised clustering of scRNA-seq data
- Certain properties of domination in product vague graphs with an application in medicine
- FlavorGraph: a large-scale food-chemical graph for generating food representations and recommending food pairings
- The aging effect in evolving scientific citation networks
- Deep multi-view learning methods: a review
- Diagnosis of COVID-19 pneumonia based on graph convolutional network
- Cluster-based data transmission scheme in wireless sensor networks using black hole and ant colony algorithms
- Migration-based moth-flame optimization algorithm
- Identification of heavy metal pollution sources and its associated risk assessment in an industrial town using the K-means clustering technique
- Frontoparietal beta amplitude modulation and its interareal cross-frequency coupling in visual working memory
- Minimizing the spread of misinformation in online social networks: A survey
- Learning robust affinity graph representation for multi-view clustering
- A bounded-confidence model of opinion dynamics on hypergraphs
- A new subspace clustering strategy for AI-based data analysis in IoT system
- Mary, Hugo, and Hugo*: Learning to schedule distributed data-parallel processing jobs on shared clusters
- Second-order consensus of multiagent systems with matrix-weighted network
- Provable guarantees for self-supervised deep learning with spectral contrastive loss
- Unlabeled skin lesion classification by self-supervised topology clustering network
- Graph-powered machine learning
- A bi-level encoding scheme for the clustered shortest-path tree problem in multifactorial optimization
- Multimodal data visualization, denoising and clustering with integrated diffusion
- COMPLETER: Incomplete multi-view clustering via contrastive prediction
- Leak detection and localization in water distribution networks by combining expert knowledge and data-driven models
- Clustering method and sine cosine algorithm for image segmentation
- Graph attention multi-layer perceptron
- Measuring node contribution to community structure with modularity vitality
- Social network analysis taxonomy based on graph representation
- AXIN1 knockout does not alter AMPK/mTORC1 regulation and glucose metabolism in mouse skeletal muscle
- Global consistent graph convolutional network for hyperspectral image classification
- Modeling and tracking Covid-19 cases using Big Data analytics on HPCC system platform
- Learning future terrorist targets through temporal meta-graphs
- Recent trends in knowledge graphs: theory and practice
- Semi-supervised learning with mixed-order graph convolutional networks
- Fast hierarchical clustering of local density peaks via an association degree transfer method
- Reverse graph learning for graph neural network
- South Asian Countries are less fatal concerning COVID-19: a fact-finding procedure integrating machine learning & multiple criteria decision-making (MCDM) …
- A similarity measure for second order properties of non-stationary functional time series with applications to clustering and testing
- Faster index reordering with bipartite graph partitioning
- Dual-manifold regularized regression models for feature selection based on hesitant fuzzy correlation
- Metaheuristic optimization-based resource allocation technique for cybertwin-driven 6G on IoE environment
- Solving graph coloring problem using divide and conquer-based turbulent particle swarm optimization
- Correlation coefficient of T-spherical type-2 hesitant fuzzy sets and their applications in clustering analysis
- Planar random-cluster model: fractal properties of the critical phase
- Investigation of magneto-/radio-metric behavior in order to identify an estimator model using K-means clustering and Artificial Neural Network (ANN)(Iron Ore Deposit …
- The expander hierarchy and its applications to dynamic graph algorithms
- Scikit-dimension: A python package for intrinsic dimension estimation
- Room semantics inference using random forest and relational graph convolutional networks: A case study of research building
- Locally differentially private analysis of graph statistics
- Graphgt: Machine learning datasets for graph generation and transformation
- Dynamics on higher-order networks: A review
- Graph representation learning for road type classification
- Graph-Regularized Non-Negative Tensor-Ring Decomposition for Multiway Representation Learning
- The support of the process of training pre-service mathematics teachers by means of cloud services
- Sensitive integration of multilevel optimization model in human activity recognition for smartphone and smartwatch applications
- Regularized graph matching for correspondence identification under uncertainty in collaborative perception
- Influential nodes detection in complex networks via diffusion Fréchet function
- Biochar in the 21st century: A data-driven visualization of collaboration, frontier identification, and future trend
- Nonlocal graph theory based transductive learning for hyperspectral image classification
- Joint representation learning for multi-view subspace clustering
- Consensus in multi-agent systems: A review
- Multiscale spatio-temporal graph neural networks for 3d skeleton-based motion prediction
- Construction safety knowledge sharing on Twitter: A social network analysis
- The connectedness of the coronavirus disease pandemic in the world: A study based on complex network analysis
- Graph neural network: Current state of Art, challenges and applications
- A survey about community detection over On-line Social and Heterogeneous Information Networks
- Decoupling the depth and scope of graph neural networks
- Quantitative analysis of the kinematics and induced aerodynamic loading of individual vortices in vortex-dominated flows: a computation and data-driven approach
- Two phase cluster validation approach towards measuring cluster quality in unstructured and structured numerical datasets
- St-trader: A spatial-temporal deep neural network for modeling stock market movement
- CMC: a consensus multi-view clustering model for predicting Alzheimer’s disease progression
- DMFO-CD: A Discrete Moth-Flame Optimization Algorithm for Community Detection
- B-MFO: a binary moth-flame optimization for feature selection from medical datasets
- Self-training enhanced: Network embedding and overlapping community detection with adversarial learning
- Ship trajectory prediction based on bi-LSTM using spectral-clustered AIS data
- GIANA allows computationally-efficient TCR clustering and multi-disease repertoire classification by isometric transformation
- Positively correlated samples save pooled testing costs
- Integration of multiomics data with graph convolutional networks to identify new cancer genes and their associated molecular mechanisms
- Graph Theory on Brain Cortical Sources in Parkinson’s Disease: The Analysis of ‘Small World’Organization from EEG
- Event-based motion segmentation with spatio-temporal graph cuts
- HBlogRec: a hybridized cognitive knowledge scheme for blog recommendation infusing XGBoosting and semantic intelligence
- Node and edge nonlinear eigenvector centrality for hypergraphs
- Developing a mathematical model of the co-author recommender system using graph mining techniques and big data applications
- Introduction to high-dimensional statistics
- A novel ensemble statistical topic extraction method for scientific publications based on optimization clustering
- Binary graph neural networks
- Deep graph similarity learning: A survey
- Multi-view spectral clustering for uncertain objects
- Energy efficient scheme for better connectivity in sustainable mobile wireless sensor networks
- Trend analysis using agglomerative hierarchical clustering approach for time series big data
- TIMSS 2019 user guide for the international database
- Tuning Database-Friendly Random Projection Matrices for Improved Distance Preservation on Specific Data
- Balanced graph-based regularized semi-supervised extreme learning machine for EEG classification
- Utilizing graph machine learning within drug discovery and development
- Distributed two-time-scale methods over clustered networks
- Clustering in a hyperbolic model of complex networks
- Model-based clustering for random hypergraphs
- Intrinsic radiomic expression patterns after 20 Gy demonstrate early metabolic response of oropharyngeal cancers
- Generative partial multi-view clustering with adaptive fusion and cycle consistency
- Deep learning for pattern recognition of photovoltaic energy generation
- GGL-Tox: geometric graph learning for toxicity prediction
- Partitioning a graph into balanced connected classes: Formulations, separation and experiments
- Spatial clustering of willingness to pay for ecosystem services
- A literature review on network reliability analysis and its engineering applications
- Matérn Gaussian processes on graphs
- Robust line segment matching across views via ranking the line-point graph
- Consensus clustering applied to multi-omics disease subtyping
- Self-organised critical dynamics as a key to fundamental features of complexity in physical, biological, and social networks
- Spatio-geologically informed fuzzy classification: an innovative method for recognition of mineralization-related patterns by integration of elemental, 3D spatial, and …
- Disentangling homophily, community structure, and triadic closure in networks
- Learning Artificial Intelligence: Insights into How Youth Encounter and Build Understanding of AI Concepts
- What to teach? Strategies for developing digital competency in preservice teacher training
- Multiple kernel clustering with compressed subspace alignment
- Wasserstein-based graph alignment
- Unified polynomial Dynamic Programming algorithms for p-center variants in a 2D Pareto Front
- Fault diagnosis approach for photovoltaic array based on the stacked auto-encoder and clustering with IV curves
- Adaptive knowledge transfer in multifactorial evolutionary algorithm for the clustered minimum routing cost problem
- Time series analysis via network science: Concepts and algorithms
- Coincidence complex networks
- Multilayer networks for text analysis with multiple data types
- Graph-coupled oscillator networks
- Climate Field Completion via Markov Random Fields: Application to the HadCRUT4. 6 Temperature Dataset
- Hybrid intelligent framework for automated medical learning
- Active, aggressive, but to little avail: characterizing bot activity during the 2020 Singaporean elections
- Exploration of the global air transport network using social network analysis
- A new recommendation system using map-reduce-based tournament empowered Whale optimization algorithm
- Polygraph: Exposing the value of flexibility for graph processing accelerators
- Variational graph autoencoders for multiview canonical correlation analysis
- Parallel and scalable Dunn Index for the validation of big data clusters
- Deep hybrid: multi-graph neural network collaboration for hyperspectral image classification
- Unsupervised hyperbolic representation learning via message passing auto-encoders
- A theory of spectral partitions of metric graphs
- Concurrence percolation in quantum networks
- Optimal energy management strategy for plug-in hybrid electric vehicles based on a combined clustering analysis
- Hierarchies in communities of UK stock market from the perspective of Brexit
- Role of machine learning in resource allocation strategy over vehicular networks: a survey
- Discovering Overlapping Communities Based on Cohesive Subgraph Models over Graph Data
- Graph-based neural network models with multiple self-supervised auxiliary tasks
- A spectral representation of power systems with applications to adaptive grid partitioning and cascading failure localization
- Pde-gcn: Novel architectures for graph neural networks motivated by partial differential equations
- scMC learns biological variation through the alignment of multiple single-cell genomics datasets
- Multiview subspace clustering via co-training robust data representation
- Unsupervised learning methods for molecular simulation data
- A comprehensive survey of knowledge graph-based recommender systems: Technologies, development, and contributions
- Shabaz–Urvashi link prediction (SULP): a novel approach to predict future friends in a social network
- Morphological and functional polycentric structure assessment of megacity: An integrated approach with spatial distribution and interaction
- Quantum spectral clustering
- Grain: Improving data efficiency of graph neural networks via diversified influence maximization
- Q-neutrosophic soft graphs in operations management and communication network
- Artificial Neural Network Training Criterion Formulation Using Error Continuous Domain.
- Forman persistent Ricci curvature (FPRC)-based machine learning models for protein–ligand binding affinity prediction
- Learning to schedule job-shop problems: representation and policy learning using graph neural network and reinforcement learning
- Decentralized local stochastic extra-gradient for variational inequalities
- On financial market correlation structures and diversification benefits across and within equity sectors
- Application of community detection algorithms on learning networks. The case of Khan Academy repository
- A novel clustering ensemble model based on granular computing
- Deep soft clustering: simultaneous deep embedding and soft-partition clustering
- TCD2: Tree-based community detection in dynamic social networks
- Operations Research: Topics, Impact, and Trends from 1952–2019
- A hybrid meta-heuristic task scheduling algorithm based on genetic and thermodynamic simulated annealing algorithms in cloud computing environments
- A survey on embedding dynamic graphs
- Computational study of the geometric properties governing the linear mechanical behavior of fiber networks
- Magface: A universal representation for face recognition and quality assessment
- Probabilistic machine learning: an introduction
- Multihop neighbor information fusion graph convolutional network for text classification
- Clan embeddings into trees, and low treewidth graphs
- Representation learning of graphs using graph convolutional multilayer networks based on motifs
- A novel dynamic clustering approach for energy hole mitigation in Internet of Things-based wireless sensor network
- Subcubic algorithms for Gomory–Hu tree in unweighted graphs
- Atomic embeddability, clustered planarity, and thickenability
- Ego-gnns: Exploiting ego structures in graph neural networks
- Deep embedded multi-view clustering with collaborative training
- Semi-supervised anomaly detection algorithms: A comparative summary and future research directions
- Research on the route pricing optimization model of the car-free carrier platform based on the BP neural network algorithm
- HiSCF: leveraging higher-order structures for clustering analysis in biological networks
- Learning deep discriminative representations with pseudo supervision for image clustering
- Advances in meta-heuristic optimization algorithms in big data text clustering
- Deep autoencoder-based community detection in complex networks with particle swarm optimization and continuation algorithms
- Reduced order modeling of diffusively coupled network systems: An optimal edge weighting approach
- Instance Segmentation Gnns for One-Shot Conformal Tracking at the LHC
- A novel cluster-based approach for keyphrase extraction from MOOC video lectures
- Implementing spiking neural networks on neuromorphic architectures: A review
- Towards 6G IoT: Tracing mobile sensor nodes with deep learning clustering in UAV networks
- Artificial intelligence applications in supply chain management
- Large scale learning on non-homophilous graphs: New benchmarks and strong simple methods
- Squidpy: a scalable framework for spatial omics analysis
- Deep learning for anomaly detection in time-series data: review, analysis, and guidelines
- Automatic Graph Learning Convolutional Networks for Hyperspectral Image Classification
- Generic visual data mining-based framework for revealing abnormal operation patterns in building energy systems
- Cutqc: using small quantum computers for large quantum circuit evaluations
- Low-carbon technology collaborative innovation in industrial cluster with social exclusion: an evolutionary game theory perspective
- Survey on ten years of multi-depot vehicle routing problems: mathematical models, solution methods and real-life applications
- Connectivity and Wiener index of fuzzy incidence graphs
- Cluster Analysis and Applications
- Socio-Transactional Impact of Recency, Frequency, and Monetary Features oN Customers’ Behaviour in Telecoms’ Churn Prediction
- A spectral clustering with self-weighted multiple kernel learning method for single-cell RNA-seq data
- Quantifying the separability of data classes in neural networks
- A graph-based modeling abstraction for optimization: Concepts and implementation in plasmo. jl
- Dissecting transition cells from single-cell transcriptome data through multiscale stochastic dynamics
- Pangenomics enables genotyping of known structural variants in 5202 diverse genomes
- MDER: modified degree with exclusion ratio algorithm for influence maximisation in social networks
- Fair clustering under a bounded cost
- LineageOT is a unified framework for lineage tracing and trajectory inference
- Constructing dynamic brain functional networks via hyper-graph manifold regularization for mild cognitive impairment classification
- A parallel multi-objective evolutionary algorithm for community detection in large-scale complex networks
- Feature-extraction and analysis based on spatial distribution of amino acids for SARS-CoV-2 Protein sequences
- Non-standard bioinformatics characterization of SARS-CoV-2
- Encoding the atomic structure for machine learning in materials science
- Weather, mental health, and mobility during the first wave of the COVID-19 pandemic
- The SAGEX Review on scattering amplitudes, Chapter 5: Analytic bootstraps for scattering amplitudes and beyond
- Different spreading dynamics throughout Germany during the second wave of the COVID-19 pandemic: a time series study based on national surveillance …
- Infrared small target detection based on partial sum minimization and total variation
- Representation of the universe as a dendrogramic hologram endowed with relational interpretation
- Cooperative Task Allocation of Multiple VA Vs Based on Greedy Algorithm
- DPCMNE: detecting protein complexes from protein-protein interaction networks via multi-level network embedding
- A two-stage hybrid ant colony optimization for high-dimensional feature selection
- Melanoma detection using spatial and spectral analysis on superpixel graphs
- Improving the open cluster census-I. Comparison of clustering algorithms applied to Gaia DR2 data
- Context-aware service recommendation based on knowledge graph embedding
- Improved density-based learning to cluster for user web log in data mining
- Ollivier persistent ricci curvature-based machine learning for the protein–ligand binding affinity prediction
- Dual self-paced multi-view clustering
- Leveraging the Cell Ontology to classify unseen cell types
- Graph coarsening with neural networks
- Deep learning-based community detection in complex networks with network partitioning and reduction of trainable parameters
- AI-assisted energy-efficient and intelligent routing for reconfigurable wireless networks
- The coalescence of incipient soot clusters
- Hypergraphs for predicting essential genes using multiprotein complex data
- SMART: A Situation Model for Algebra Story Problems via Attributed Grammar.
- Event-stream representation for human gaits identification using deep neural networks
- Faster cut-equivalent trees in simple graphs
- Persistent Laplacians: Properties, algorithms and implications
- Statistically-robust clustering techniques for mapping spatial hotspots: A survey
- H3K27me3 demethylases alter HSP22 and HSP17. 6C expression in response to recurring heat in Arabidopsis
- Mocl: Contrastive learning on molecular graphs with multi-level domain knowledge
- The physics of higher-order interactions in complex systems
- Topological characterization and graph entropies of tessellations of kekulene structures: existence of isentropic structures and applications to thermochemistry …
- Variational quantum eigensolver with reduced circuit complexity
- Picture fuzzy incidence graphs with application
- Artificial Benchmark for Community Detection (ABCD)—Fast random graph model with community structure
- {GNNAdvisor}: An Adaptive and Efficient Runtime System for {GNN} Acceleration on {GPUs}
- Robust subspace clustering based on automatic weighted multiple kernel learning
- A personalized eccentric cyber-physical system Architecture for smart healthcare
- Fast linking of mathematical Wikidata entities in Wikipedia articles using annotation recommendation
- Pattern recognition and event detection on iot data-streams
- Algebraic graph-assisted bidirectional transformers for molecular property prediction
- A multi-scale brain map derived from whole-brain volumetric reconstructions
- A streamlined scRNA-Seq data analysis framework based on improved sparse subspace clustering
- A link between approximation theory and summability methods via four-dimensional infinite matrices
- A new view about connections: the mathematical connections established by a teacher when teaching the derivative
- Cluster analysis and model comparison using smart meter data
- On defining and finding islands of trees and mitigating large island bias
- TopoAct: Visually exploring the shape of activations in deep learning
- Bio-inspired algorithms and its applications for optimization in fuzzy clustering
- Topic modeling combined with classification technique for extractive multi-document text summarization
- The effects of remote work on collaboration among information workers
- RallyComparator: visual comparison of the multivariate and spatial stroke sequence in table tennis rally
- Breast cancer segmentation methods: current status and future potentials
- MAGUS+ eHMMs: improved multiple sequence alignment accuracy for fragmentary sequences
- Online discriminative graph learning from multi-class smooth signals
- An ensemble topic extraction approach based on optimization clusters using hybrid multi-verse optimizer for scientific publications
- The joint order batching and picker routing problem: Modelled and solved as a clustered vehicle routing problem
- The emerging field of graph signal processing for moving object segmentation
- HiDeF: identifying persistent structures in multiscale ‘omics data
- MultiMAP: dimensionality reduction and integration of multimodal data
- Dynamic and thermodynamic models of adaptation
- Belief propagation for networks with loops
- A survey on deep learning and its applications
- Feature extraction approaches for biological sequences: a comparative study of mathematical features
- A graph placement methodology for fast chip design
- A comprehensive survey and experimental comparison of graph-based approximate nearest neighbor search
- The overlap gap property: A topological barrier to optimizing over random structures
- A novel mathematical model for COVID-19 with remedial strategies
- Discriminative subspace matrix factorization for multiview data clustering
- Lieb-Robinson bound and almost-linear light cone in interacting boson systems
- Skill scanner: connecting and supporting employers, job seekers and educational institutions with an AI-based recommendation system
- Learning parametrised graph shift operators
- A Survey on Multimedia Analytics in Security Systems of Cyber Physical Systems and IoT
- Transfer learning of graph neural networks with ego-graph information maximization
- Characterizing spatial gene expression heterogeneity in spatially resolved single-cell transcriptomic data with nonuniform cellular densities
- A hetero-functional graph resilience analysis of the future American electric power system
- Benchmarking graph neural networks for materials chemistry
- Optimality of spectral clustering in the Gaussian mixture model
- Phase transitions of the k-majority dynamics in a biased communication model
- Logistics optimization through a social approach for food distribution
- Sugar: Subgraph neural network with reinforcement pooling and self-supervised mutual information mechanism
- A multiple-kernel clustering based intrusion detection scheme for 5G and IoT networks
- Contrastive clustering
- A note on one-loop cluster adjacency in N = 4 SYM
- Applications of picture fuzzy similarity measures in pattern recognition, clustering, and MADM
- Joint auto-weighted graph fusion and scalable semi-supervised learning
- Projected fuzzy C-means clustering with locality preservation
- A two-stage black-spot identification model for inland waterway transportation
- Distributed nonlinear polynomial graph filter and its output graph spectrum: Filter analysis and design
- The potential of AI in health higher education to increase the students’ learning outcomes
- Predictive modeling based on small data in clinical medicine: RBF-based additive input-doubling method
- Graph embedding-based intelligent industrial decision for complex sewage treatment processes
- An efficient framework for anomaly detection in attributed social networks
- Multi-scale representation learning on proteins
- A quantum processor based on coherent transport of entangled atom arrays
- Tight Lipschitz hardness for optimizing mean field spin glasses
- Deep neural network and model-based clustering technique for forensic electronic mail author attribution
- Teachers’ ontological perspectives of computational thinking and assessment: A text mining approach
- A simulated annealing algorithm with a dual perturbation method for clustering
- Reorganization of functional brain network architecture in chronic osteoarthritis pain
- Unsupervised deep clustering of seismic data: monitoring the Ross ice shelf, Antarctica
- A new clustering mining algorithm for multi-source imbalanced location data
- A multi-perspective malware detection approach through behavioral fusion of api call sequence
- A survey on heterogeneous graph embedding: methods, techniques, applications and sources
- GraphBLAST: A high-performance linear algebra-based graph framework on the GPU
- Integration of BIM and GIS for construction automation, a systematic literature review (SLR) combining bibliometric and qualitative analysis
- Discovering new intents with deep aligned clustering
- Mono2micro: a practical and effective tool for decomposing monolithic java applications to microservices
- Computer and Information Sciences
- Frustration-induced emergent hilbert space fragmentation
- Analysis of security and energy efficiency for shortest route discovery in low-energy adaptive clustering hierarchy protocol using Levenberg-Marquardt neural network …
- A hybrid theory of event memory
- Network geometry
- Hybrid harmony search algorithm for social network contact tracing of COVID-19
- Ecological and economic aspects of sustainable development of Ukrainian regions
- The m= 2 amplituhedron and the hypersimplex: signs, clusters, triangulations, Eulerian numbers
- Unifying the global and local approaches: an efficient power iteration with forward push
- Typical periods or typical time steps? A multi-model analysis to determine the optimal temporal aggregation for energy system models
- A systematic review on data mining for mathematics and science education
- Particle swarm intelligence and the evolution of cooperation in the spatial public goods game with punishment
- … the interrelated impacts of type, quality and children’s awareness of design features and the mathematics content learning goals in digital math games and related …
- Modelling and simulations of the SEIR and Blood Coagulation systems using Atangana-Baleanu-Caputo derivative
- Application in augmented reality for learning mathematical functions: A study for the development of spatial intelligence in secondary education students
- Identifying multiple influential spreaders based on maximum connected component decomposition method
- Hybrid-hypergraph regularized multiview subspace clustering for hyperspectral images
- Single-cell transcriptome atlas and chromatin accessibility landscape reveal differentiation trajectories in the rice root
- Dynamic relationship identification for abnormality detection on financial time series
- Sampling business process event logs using graph-based ranking model
- Planar and toroidal morphs made easier
- Mediating Effect of Self-Efficacy on the Relationship between Instruction and Students’ Mathematical Reasoning.
- A study on cubic graphs with novel application
- A machine-learning approach to predict creep properties of Cr–Mo steel with time-temperature parameters
- Sir-gn: A fast structural iterative representation learning approach for graph nodes
- Fake news agenda in the era of COVID-19: Identifying trends through fact-checking content
- Unsupervised neural networks for automatic Arabic text summarization using document clustering and topic modeling
- Partially view-aligned representation learning with noise-robust contrastive loss
- A graph-based convolutional neural network stock price prediction with leading indicators
- Error-protected qubits in a silicon photonic chip
- Towards multi-modal causability with graph neural networks enabling information fusion for explainable AI
- A novel data representation framework based on nonnegative manifold regularisation
- Household bubbles and COVID-19 transmission: insights from percolation theory
- Graph-based semi-supervised learning: A comprehensive review
- Opinion diffusion and campaigning on society graphs
- Comparative analysis of molecular fingerprints in prediction of drug combination effects
- UMAP-assisted K-means clustering of large-scale SARS-CoV-2 mutation datasets
- scGCN is a graph convolutional networks algorithm for knowledge transfer in single cell omics
- Multiview subspace clustering by an enhanced tensor nuclear norm
- Cross-tissue organization of the fibroblast lineage
- Detection of differentially abundant cell subpopulations in scRNA-seq data
- Network neuroscience and the connectomics revolution
- A survey on clustering methods for distributed and networked control systems
- A hybrid 3D feature recognition method based on rule and graph
- A novel Gauss-Laplace operator based on multi-scale convolution for dance motion image enhancement
- Clustering bivariate dependencies of compound precipitation and wind extremes over Great Britain and Ireland
- Teaching science: Knowledge, language, pedagogy
- Community detection and matrix completion with social and item similarity graphs
- Analysis of the evolution and collaboration networks of citizen science scientific publications
- Degree-based entropy of molecular structure of hyaluronic acid–curcumin conjugates
- Learning physical properties of anomalous random walks using graph neural networks
- Objective-Based Hierarchical Clustering of Deep Embedding Vectors.
- Exploiting knowledge graphs in industrial products and services: a survey of key aspects, challenges, and future perspectives
- Dimensionality reduction by UMAP reinforces sample heterogeneity analysis in bulk transcriptomic data
- Scaling up real networks by geometric branching growth
- Absence of fast scrambling in thermodynamically stable long-range interacting systems
- Interdependence between green financial instruments and major conventional assets: a wavelet-based network analysis
- An early stage researcher’s primer on systems medicine terminology
- Bipartite entanglement of decohered mixed states generated from maximally entangled cluster states
- Filho
- Improved lower bound of LFMD with applications of prism-related networks
- VGL: a high-performance graph processing framework for the NEC SX-Aurora TSUBASA vector architecture
- Computer vision and human behaviour, emotion and cognition detection: A use case on student engagement
- Dynamic graph exploration by interactively linked node-link diagrams and matrix visualizations
- Event log preprocessing for process mining: a review
- Domain-specific knowledge graphs: A survey
- Dynamics of epidemic spreading on connected graphs
- A quantum computing view on unitary coupled cluster theory
- Influence decision models: From cooperative game theory to social network analysis
- Relational learning analysis of social politics using knowledge graph embedding
- Fast parallel algorithms for euclidean minimum spanning tree and hierarchical spatial clustering
- Near-Optimal Two-Pass Streaming Algorithm for Sampling Random Walks over Directed Graphs
- Unsupervised spatially embedded deep representation of spatial transcriptomics
- Can students with different language backgrounds profit equally from a language-responsive instructional approach for percentages? Differential effectiveness in a …
- DGraph Clusters Flaviviruses and β-Coronaviruses According to Their Hosts, Disease Type, and Human Cell Receptors
- Current trends in flow cytometry automated data analysis software
- Modern perspectives on near-equilibrium analysis of Turing systems
- Semiautomatic robust regression clustering of international trade data
- Tail risk contagion between international financial markets during COVID-19 pandemic
- Nonexchangeable random partition models for microclustering
- On similarity
- Differentially-private clustering of easy instances
- Understanding How Dimension Reduction Tools Work: An Empirical Approach to Deciphering t-SNE, UMAP, TriMap, and PaCMAP for Data Visualization.
- Dynamic graph convolutional networks with attention mechanism for rumor detection on social media
- Projective group consensus of multi-agent systems with arbitrary parameter
- Quantum circuits with many photons on a programmable nanophotonic chip
- Relationships between the Chicken McNugget Problem, Mutations of Brauer Configuration Algebras and the Advanced Encryption Standard
- Independent sets in the middle two layers of Boolean lattice
- Clustering of modal-valued symbolic data
- Quantitative homogenization of the parabolic and elliptic Green’s functions on percolation clusters
- Chemical applicability of Sombor indices
- Dissecting human embryonic skeletal stem cell ontogeny by single-cell transcriptomic and functional analyses
- Modeling quantum dot systems as random geometric graphs with probability amplitude-based weighted links
- Energy-efficient k-hop clustering in cognitive radio sensor network for Internet of Things
- Robust network alignment via attack signal scaling and adversarial perturbation elimination
- Coupled layer-wise graph convolution for transportation demand prediction
- Mapper Interactive: A scalable, extendable, and interactive toolbox for the visual exploration of high-dimensional data
- Quantum annealing versus digital computing: An experimental comparison
- Mathematical modeling of coronavirus disease COVID-19 dynamics using CF and ABC non-singular fractional derivatives
- Multi-scale evolution mechanism and knowledge construction of a digital twin mimic model
- Hamiltonian fuzzy graphs with application to human trafficking
- Mathematical modeling of COVID-19 in 14.8 million individuals in Bahia, Brazil
- Dynamics of exact soliton solutions to the coupled nonlinear system using reliable analytical mathematical approaches
- Gnnlens: A visual analytics approach for prediction error diagnosis of graph neural networks
- Identification and computational analysis of mutations in SARS-CoV-2
- Visual analytics of video-clickstream data and prediction of learners’ performance using deep learning models in MOOCs’ courses
- Centrality of a communication network of construction project participants and implications for improved project communication
- Information diffusion modeling and analysis for socially interacting networks
- A Unified Framework for Spectral Clustering in Sparse Graphs.
- FPT algorithms to compute the elimination distance to bipartite graphs and more
- Graph Convolutional Networks: analysis, improvements and results
- Towards real-time counting shortest cycles on dynamic graphs: A hub labeling approach
- Factors affecting disaster resilience in Oman: integrating stakeholder analysis and fuzzy cognitive mapping
- Social media intention mining for sustainable information systems: categories, taxonomy, datasets and challenges
- Graph modelling for tracking the COVID-19 pandemic spread
- Using anticlustering to partition data sets into equivalent parts.
- Deep learning on graphs
- An effective hybrid framework for content based image retrieval (CBIR)
- Multivariate time series clustering based on complex network
- Large-scale subspace clustering by independent distributed and parallel coding
- A comprehensive comparative study of clustering-based unsupervised defect prediction models
- The Alpha-Heston stochastic volatility model
- Scheduling with communication delays via LP hierarchies and clustering II: weighted completion times on related machines
- Evaluation and comparison of multi-omics data integration methods for cancer subtyping
- Clone-structured graph representations enable flexible learning and vicarious evaluation of cognitive maps
- Robust semi-supervised nonnegative matrix factorization for image clustering
- An enhanced spectral clustering algorithm with S-distance
- Non-hermitian skin clusters from strong interactions
- A new graph-based extractive text summarization using keywords or topic modeling
- Signal processing on higher-order networks: Livin’on the edge… and beyond
- Robustness of graph neural networks at scale
- Temporal analysis of the entire ethereum blockchain network
- Impact of lockdown and change in mobility patterns on road fatalities during COVID-19 pandemic
- Spatial autocorrelation and the dynamics of the mean center of COVID-19 infections in Lebanon
- Dual space latent representation learning for unsupervised feature selection
- Integrated analysis of multimodal single-cell data
- Fuzzy detection system for rumors through explainable adaptive learning
- A review on turbulent and vortical flow analyses via complex networks
- AB-net: A novel deep learning assisted framework for renewable energy generation forecasting
- RAS-protein activation but not mutation status is an outcome predictor and unifying therapeutic target for high-risk acute lymphoblastic leukemia
- Define and visualize pathological architectures of human tissues from spatially resolved transcriptomics using deep learning
- Protocol-independent data acquisition for precision farming
- Understanding over-squashing and bottlenecks on graphs via curvature
- Applications of neutrosophic logic in image processing: A survey
- A cluster-based hierarchical-approach for the path planning of swarm
- Regional seismic responses of shallow basins incorporating site-city interaction analyses on high-rise building clusters
- Study of mathematical model of Hepatitis B under Caputo-Fabrizo derivative
- Graph theory methods: applications in brain networks
- Progress on open chemoinformatic tools for expanding and exploring the chemical space
- Tensor clustering with planted structures: Statistical optimality and computational limits
- Data stream analysis: Foundations, major tasks and tools
- CPIDM: a clustering-based profound iterating deep learning model for HSI segmentation
- Fish disease detection using image based machine learning technique in aquaculture
- An efficient hybrid computational technique for the time dependent Lane-Emden equation of arbitrary order
- Enhanced Forman curvature and its relation to Ollivier curvature
- A fractional-order SIRD model with time-dependent memory indexes for encompassing the multi-fractional characteristics of the COVID-19
- Collective minds: social network topology shapes collective cognition
- Gravitational search algorithm: a comprehensive analysis of recent variants
- Strong ties and where to find them: or, why Neville and Bellatrix might be more important than Harry and Tom
- Fundamental clustering algorithms suite
- Sampled Gromov Wasserstein
- Distance-weighted graph neural networks on FPGAs for real-time particle reconstruction in high energy physics
- A continuum limit for the PageRank algorithm
- Machine learning dismantling and early-warning signals of disintegration in complex systems
- On a rank-unimodality conjecture of Morier-Genoud and Ovsienko
- The effects of 10 Hz and 20 Hz tACS in network integration and segregation in chronic stroke: a graph theoretical fMRI study
- Apriori association rule and K-means clustering algorithms for interpretation of pre-event landslide areas and landslide inventory mapping
- Dynamic functional connectivity in temporal lobe epilepsy: a graph theoretical and machine learning approach
- Smart flood resilience: harnessing community-scale big data for predictive flood risk monitoring, rapid impact assessment, and situational awareness
- Cyber situation perception for Internet of Things systems based on zero-day attack activities recognition within advanced persistent threat
- Recommendation engines-neural embedding to graph-based: Techniques and evaluations
- An analysis of a KNN perturbation operator: an application to the binarization of continuous metaheuristics
- Regional competitiveness research based on digital models using Kolmogorov-Chapman equations
- Contribution of graph theory applied to EEG data analysis for Alzheimer’s disease versus vascular dementia diagnosis
- Sharpness of the phase transition for parking on random trees
- Interactive feedback for learning mathematics in a digital learning environment
- Drug repurposing using biological networks
- A bi-level formulation for label noise learning with spectral cluster discovery
- Quantum Physics Education Research over the Last Two Decades: A Bibliometric Analysis
- A survey of density based clustering algorithms
- Topological data analysis model for the spread of the coronavirus
- EMI-GCN: a hybrid model for real-time monitoring of multiple bolt looseness using electromechanical impedance and graph convolutional networks
- The specious art of single-cell genomics
- Ant-TD: Ant colony optimization plus temporal difference reinforcement learning for multi-label feature selection
- Universal manufacturing: Enablers, properties, and models
- Semantic-based opinion summarization
- Formal mathematics statement curriculum learning
- SSC: A hybrid nature-inspired meta-heuristic optimization algorithm for engineering applications
- Sdg: A simplified and dynamic graph neural network
- The landscape of cell–cell communication through single-cell transcriptomics
- Nonlinear opinion dynamics with tunable sensitivity
- Subspace estimation from unbalanced and incomplete data matrices: ℓ2,∞ statistical guarantees
- A multistage damage detection approach using graph theory and water strider algorithm
- Clustering by periodontitis-associated factors: A novel application to NHANES data
- A gentle introduction to graph neural networks
- Computer vision and unsupervised machine learning for pore-scale structural analysis of fractured porous media
- A study on the failure behavior of sand grain contacts with Hertz modeling, image processing, and statistical analysis
- Spatially resolved cell atlas of the mouse primary motor cortex by MERFISH
- Patterns of synchrony in complex networks of adaptively coupled oscillators
- A novel knowledge graph-based optimization approach for resource allocation in discrete manufacturing workshops
- Defining super-enhancer landscape in triple-negative breast cancer by multiomic profiling
- Robust deep k-means: An effective and simple method for data clustering
- AutoMeKin2021: An open-source program for automated reaction discovery
- Optimal location of an electrical vehicle charging station in a local microgrid using an embedded hybrid optimizer
- A lymphocyte–microglia–astrocyte axis in chronic active multiple sclerosis
- Combining advanced computational social science and graph theoretic techniques to reveal adversarial information operations
- Handbook of the Tutte Polynomial and Related Topics
- Graph learning techniques using structured data for IoT air pollution monitoring platforms
- Precedence-constrained colored traveling salesman problem: An augmented variable neighborhood search approach
- Energy method of geophysical logging lithology based on K-means dynamic clustering analysis
- Measuring Law Over Time: A network analytical framework with an application to statutes and regulations in the United States and Germany
- A systematic review of emerging feature selection optimization methods for optimal text classification: the present state and prospective opportunities
- Dissecting bitcoin blockchain: Empirical analysis of bitcoin network (2009–2020)
- Multiplicative pacing equilibria in auction markets
- Generating large scale-free networks with the Chung–Lu random graph model
- Impact of renewable energy sources into multi area multi-source load frequency control of interrelated power system
- Motif prediction with graph neural networks
- A limited mobility of minorities facilitates cooperation in social dilemmas
- Blockchain technology for secured healthcare data communication among the non-terminal nodes in IoT architecture in 5G network
- Improved chaotic binary grey wolf optimization algorithm for workflow scheduling in green cloud computing
- A retrospective study on handwritten mathematical symbols and expressions: Classification and recognition
- Analysis of the use and integration of the flipped learning model, project-based learning, and gamification methodologies by secondary school mathematics teachers
- Network slicing for vehicular communication
- Inference of intercellular communications and multilayer gene-regulations of epithelial–mesenchymal transition from single-cell transcriptomic data
- Clustering-based hybrid feature selection approach for high dimensional microarray data
- User embedding for expert finding in community question answering
- The effect of JCPOA on the network behavior analysis of tehran stock exchange indexes
- Asymptotic dimension of minor-closed families and beyond
- Vernal: a tool for mining fuzzy network motifs in RNA
- Artificial intelligence guided discovery of a barrier-protective therapy in inflammatory bowel disease
- Scalable semidefinite programming
- A robust spectral clustering algorithm for sub-Gaussian mixture models with outliers
- The impact of local and national restrictions in response to COVID-19 on social contacts in England: a longitudinal natural experiment
- Ollivier-Ricci curvature convergence in random geometric graphs
- Evolutionary large-scale multi-objective optimization: A survey
- Thermodynamic motif analysis for directed stock market networks
- Machine learning based detection and a novel EC-BRTT algorithm based prevention of DoS attacks in wireless sensor networks
- Cluster head selection based on minimum connected dominating set and bi-partite inspired methodology for energy conservation in WSNs
- Hyperbolic deep neural networks: A survey
- Deep learning-based algorithm for vehicle detection in intelligent transportation systems
- Fast and eager k-medoids clustering: O (k) runtime improvement of the PAM, CLARA, and CLARANS algorithms
- Epilepsy detection from eeg using complex network techniques: A review
- Adaptive data structure regularized multiclass discriminative feature selection
- Edges in brain networks: Contributions to models of structure and function
- Intermolecular hydrogen bonds interactions in water clusters of ammonium sulfamate: FTIR, X-ray diffraction, AIM, DFT, RDG, ELF, NBO analysis
- Pragmatic results in Taiwan education system based IVFG & IVNG
- Identification of nodes influence based on global structure model in complex networks
- Global network organization of the fetal functional connectome
- An improved Yolov3 based on dual path network for cherry tomatoes detection
- Distance based and bond additive topological indices of certain repurposed antiviral drug compounds tested for treating COVID-19
- UAV trajectory planning in wireless sensor networks for energy consumption minimization by deep reinforcement learning
- Bridge health monitoring in environmental variability by new clustering and threshold estimation methods
- Green infrastructure: Systematic literature review
- A three-point form factor through five loops
- Gibbs measures of Potts model on Cayley trees: A survey and applications
- Using social network analysis to identify spatiotemporal spread patterns of COVID-19 around the world: online dashboard development
- Efficient parallel A* search on multi-GPU system
- Chemical distance in geometric random graphs with long edges and scale-free degree distribution
- Size-invariant graph representations for graph classification extrapolations
- Prioritizing allocation of COVID-19 vaccines based on social contacts increases vaccination effectiveness
- Contrastive and generative graph convolutional networks for graph-based semi-supervised learning
- Evolution of ribosomal protein network architectures
- Quantum Machine Learning for Finance ICCAD Special Session Paper
- A new citation concept: Triangular citation in the literature
- Hausdorff fractal new coupled nonlinear schrÖdinger model and its novel solitary wave solution
- Improving prediction efficiency by revolutionary machine learning models
- CBO-IE: a data mining approach for healthcare IoT dataset using chaotic biogeography-based optimization and information entropy
- CT image segmentation method of liver tumor based on artificial intelligence enabled medical imaging
- Possibilistic clustering-promoting semi-supervised learning for EEG-based emotion recognition
- Unsupervised Adversarially Robust Representation Learning on Graphs
- Deep learning-based anomaly-onset aware remaining useful life estimation of bearings
- The SAGEX Review on scattering amplitudes
- The physics of financial networks
- Prospective teachers’ thinking through realistic mathematics education based emergent modeling in fractions