Graphs clustering Research Topics

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

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