Graphs clustering Research Topics

Research Area/ Research Interest: Graphs clustering

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

  1. Topological clustering of multilayer networks
  2. The mathematical foundations of epistemic network analysis
  3.  Multilayer representation of collaboration networks with higher-order interactions
  4. A graph-based clustering algorithm for software systems modularization
  5. One-step multi-view subspace clustering with incomplete views
  6. Online graph dictionary learning
  7. Strongly local hypergraph diffusions for clustering and semi-supervised learning
  8. Supervised model predictive control of large-scale electricity networks via clustering methods
  9. Graph clustering via variational graph embedding
  10. Effective hierarchical clustering based on structural similarities in nearest neighbor graphs
  11.  A graph clustering approach to localization for adaptive covariance tuning in data assimilation based on state-observation mapping
  12.  Using projection-based clustering to find distance-and density-based clusters in high-dimensional data
  13.  A hierarchical clustering method of hydrogen bond networks in liquid water undergoing shear flow
  14. Joint spectral clustering based on optimal graph and feature selection
  15. A clustering perspective of the Collatz conjecture
  16.  One-way dependent clusters and stability of cluster synchronization in directed networks
  17. Graph regularized autoencoder and its application in unsupervised anomaly detection
  18. Transform-based graph topology similarity metrics
  19. Multi-view attributed graph clustering
  20. Multi-view data clustering via non-negative matrix factorization with manifold regularization
  21. Deep face clustering using residual graph convolutional network
  22. Phase transition in spectral clustering based on resistance matrix
  23. Sisa: Set-centric instruction set architecture for graph mining on processing-in-memory systems
  24.  Research on the natural language recognition method based on cluster analysis using neural network
  25. Multi-view low rank sparse representation method for three-way clustering
  26. Consensus graph learning for multi-view clustering
  27. Ensemble-based clustering of large probabilistic graphs using neighborhood and distance metric learning
  28. Spectral embedded generalized mean based k-nearest neighbors clustering with S-distance
  29. Windowed fractional Fourier transform on graphs: Properties and fast algorithm
  30. Graph Metrics for Network Robustness—A Survey
  31. Combinatorics, big data, neural network & AI for medicinal chemistry & drug administration
  32. An efficient DA-net architecture for lung nodule segmentation
  33.  Mining Complex Networks
  34. Higher-order network analysis takes off, fueled by classical ideas and new data
  35.  Singularities of eight-and nine-particle amplitudes from cluster algebras and tropical geometry
  36.  A survey on data integration for multi-omics sample clustering
  37. SAG Cluster: An unsupervised graph clustering based on collaborative similarity for community detection in complex networks
  38. Nonbacktracking eigenvalues under node removal: X-centrality and targeted immunization
  39. Density peaks clustering based on k-nearest neighbors and self-recommendation
  40. Graph infoclust: Maximizing coarse-grain mutual information in graphs
  41. PC2P: parameter-free network-based prediction of protein complexes
  42. Truncated cluster algebras and Feynman integrals with algebraic letters
  43. Federated graph classification over non-iid graphs
  44. District metered area design through multicriteria and multiobjective optimization
  45. Clustering for epidemics on networks: A geometric approach
  46. Characterizing microservice dependency and performance: Alibaba trace analysis
  47.  Analyzing temporal patterns of topic diversity using graph clustering
  48. SSC: Clustering of Turkish texts by spectral graph partitioning
  49. Fully automated precise operational modal identification
  50.  Graph Filter-based Multi-view Attributed Graph Clustering.
  51. Kernelized multi-view subspace clustering via auto-weighted graph learning
  52. Cluster algebras for Feynman integrals
  53. Simultaneous learning coefficient matrix and affinity graph for multiple kernel clustering
  54.  Graph Debiased Contrastive Learning with Joint Representation Clustering.
  55. Spectral methods for data science: A statistical perspective
  56.  Distance two surjective labelling of paths and interval graphs
  57. Clustered 3-colouring graphs of bounded degree
  58. Graph neural networks for particle tracking and reconstruction
  59. A robust spectral clustering algorithm based on grid-partition and decision-graph
  60. On folded cluster patterns of affine type
  61. Consensus function based on cluster-wise two level clustering
  62. Dual distance adaptive multiview clustering
  63. A fast fuzzy clustering algorithm for complex networks via a generalized momentum method
  64. A tight approximation algorithm for the cluster vertex deletion problem
  65. Mathematical model of integration of cyber-physical systems for solving problems of increasing the competitiveness of the regions of the Russian Federation
  66. Coupled hypergraph maps and chaotic cluster synchronization
  67. Clustered Routing Method in the Internet of Things Using a Moth-Flame Optimization Algorithm
  68. Fast parameter-free multi-view subspace clustering with consensus anchor guidance
  69. Combining conflicting evidence based on Pearson correlation coefficient and weighted graph
  70.  A comprehensive survey of image segmentation: clustering methods, performance parameters, and benchmark datasets
  71. A Mathematical Study of Barcelona Metro Network
  72. A multiscale spectral features graph fusion method for hyperspectral band selection
  73. Chief: Clustering with higher-order motifs in big networks
  74. Multi-view graph embedding clustering network: Joint self-supervision and block diagonal representation
  75. Investigating spatial heterogeneity within fracture networks using hierarchical clustering and graph distance metrics
  76.  Solving correlation clustering with QAOA and a Rydberg qudit system: a full-stack approach
  77. Introduction to Cluster Algebras. Chapter 7
  78. Structural analysis of nanoscale network materials using graph theory
  79. Self-supervised graph convolutional network for multi-view clustering
  80.  Identifying the skeptics and the undecided through visual cluster analysis of local network geometry
  81.  Reinforcement number of a graph with respect to half-domination
  82.  Cell production system design: a literature review
  83.  Gender by racial/ethnic intersectionality in the patterns of Adolescents’ math motivation and their math achievement and engagement
  84. Deep multilevel graph partitioning
  85. Hybrid fruit-fly optimization algorithm with k-means for text document clustering
  86. Brain graph synthesis by dual adversarial domain alignment and target graph prediction from a source graph
  87. Measuring diversity in graph learning: a unified framework for structured multi-view clustering
  88. Multi-view document clustering based on geometrical similarity measurement
  89.  scGNN is a novel graph neural network framework for single-cell RNA-Seq analyses
  90.  Gene selection for microarray data classification via multi-objective graph theoretic-based method
  91. Cluster-driven graph federated learning over multiple domains
  92. Two-pathogen model with competition on clustered networks
  93. Robust rank-constrained sparse learning: a graph-based framework for single view and multiview clustering
  94. SpaGCN: Integrating gene expression, spatial location and histology to identify spatial domains and spatially variable genes by graph convolutional network
  95. Market graph clustering via QUBO and digital annealing
  96. One-step multiview subspace segmentation via joint skinny tensor learning and latent clustering
  97. Fractional time-delay mathematical modeling of Oncolytic Virotherapy
  98. Magnet: A neural network for directed graphs
  99. An improved community detection algorithm via fusing topology and attribute information
  100. Graph contrastive clustering
  101. \
  102. WC-KNNG-PC: Watershed clustering based on k-nearest-neighbor graph and Pauta Criterion
  103. A community detection algorithm based on graph compression for large-scale social networks
  104. Development of novel combustion risk index for flammable liquids based on unsupervised clustering algorithms
  105. What are higher-order networks?
  106. The law of attraction: Affinity-aware placement optimization using graph neural networks
  107. Graph regularized residual subspace clustering network for hyperspectral image clustering
  108.  Parameterized dynamic cluster editing
  109. Hidden qubit cluster states
  110. SRAGL-AWCL: A two-step multi-view clustering via sparse representation and adaptive weighted cooperative learning
  111. Design and analysis of a cluster-based intelligent hybrid recommendation system for e-learning applications
  112. A comprehensive survey of clustering algorithms: State-of-the-art machine learning applications, taxonomy, challenges, and future research prospects
  113. GBK-means clustering algorithm: An improvement to the K-means algorithm based on the bargaining game
  114. On analyzing graphs with motif-paths
  115. Learning graphons via structured gromov-wasserstein barycenters
  116. A new ensemble method for detecting anomalies in gene expression matrices
  117. Graph self-supervised learning: A survey
  118. Multi-view clustering via deep concept factorization
  119. Understanding digitally enabled complex networks: a plural granulation based hybrid community detection approach
  120. A large-deviations principle for all the cluster sizes of a sparse Erdős–Rényi graph
  121. Block-wise variable selection for clustering via latent states of mixture models
  122. Hypergraph dissimilarity measures
  123. Self-supervised graph convolutional clustering by preserving latent distribution
  124. Improved Time-Series Clustering with UMAP dimension reduction method
  125.  Mining communities and their descriptions on attributed graphs: a survey
  126.  Decimated Framelet System on Graphs and Fast G-Framelet Transforms.
  127. GCN2CDD: a commercial district discovery framework via embedding space clustering on graph convolution networks
  128. Decoupling representation learning and classification for gnn-based anomaly detection
  129. Integrating T cell receptor sequences and transcriptional profiles by clonotype neighbor graph analysis (CoNGA)
  130. On the mathematics of swarming: emergent behavior in alignment dynamics
  131. Incremental face clustering with optimal summary learning via graph convolutional network
  132. Generalized spectral clustering via Gromov-Wasserstein learning
  133. Understanding pooling in graph neural networks
  134. Plasticity-on-chip design: Exploiting self-similarity for data communications
  135. An effective link-based clustering algorithm for detecting overlapping protein complexes in protein-protein interaction networks
  136.  A Novel Brain MRI Image Segmentation Method Using an Improved Multi-View Fuzzy c-Means Clustering Algorithm
  137. Ship AIS trajectory clustering: An HDBSCAN-based approach
  138. Students’ coping with the self-regulatory demand of crisis-driven digitalization in university mathematics instruction: do motivational and emotional orientations make a …
  139. Percolation in complex networks
  140. Deep embedding clustering based on contractive autoencoder
  141. A data-driven heart disease prediction model through K-means clustering-based anomaly detection
  142. Height function delocalisation on cubic planar graphs
  143. Cluster synchronization of networks via a canonical transformation for simultaneous block diagonalization of matrices
  144. Graph-based tag recommendations using clusters of patients in clinical decision support system
  145. Projective multiple kernel subspace clustering
  146.  QUBO formulations for training machine learning models
  147. Cycle factors in randomly perturbed graphs
  148. Multi-VAE: Learning disentangled view-common and view-peculiar visual representations for multi-view clustering
  149. Model-free optimal control of linear multiagent systems via decomposition and hierarchical approximation
  150. Analysis and application of semantic networks in education
  151. Machine-learning mathematical structures
  152. A general transfer learning-based Gaussian mixture model for clustering
  153. Decision-based scenario clustering for decision-making under uncertainty
  154. Roles and research trends of artificial intelligence in mathematics education: A bibliometric mapping analysis and systematic review
  155. A solution-driven multilevel approach for graph coloring
  156. Coresets for clustering in excluded-minor graphs and beyond
  157. Multi-manifold optimization for multi-view subspace clustering
  158. Review of level set in image segmentation
  159. A graph deep learning approach for urban building grouping
  160. Cluster synchronization on hypergraphs
  161. Convex relaxation methods for community detection
  162. Learning a proposal classifier for multiple object tracking
  163. Separating layered treewidth and row treewidth
  164. Cleora: A simple, strong and scalable graph embedding scheme
  165. Multi-particle reconstruction in the High Granularity Calorimeter using object condensation and graph neural networks
  166. A generalized average linkage criterion for Hierarchical Agglomerative Clustering
  167. A unified lottery ticket hypothesis for graph neural networks
  168. S-shaped and V-shaped gaining-sharing knowledge-based algorithm for feature selection
  169. Hyperspectral image clustering: Current achievements and future lines
  170. Multi-task optimization and multi-task evolutionary computation in the past five years: A brief review
  171. Parent grain reconstruction from partially or fully transformed microstructures in MTEX
  172. Homological percolation transitions in growing simplicial complexes
  173.  Metric dimension and edge metric dimension of windmill graphs
  174.  Estimation and clustering in popularity adjusted block model
  175. DNC: A deep neural network-based clustering-oriented network embedding algorithm
  176. Understanding graph embedding methods and their applications
  177. A weighted network community detection algorithm based on deep learning
  178. A novel cluster detection of COVID-19 patients and medical disease conditions using improved evolutionary clustering algorithm star
  179. Overlapping community detection by constrained personalized PageRank
  180. On the radius of Gaussian free field excursion clusters
  181. Hypergraph cuts with general splitting functions
  182.  Geometric structure of graph Laplacian embeddings.
  183. A survey on parallel clustering algorithms for big data
  184.  Introduction to graph signal processing
  185. A reduced model for complex network analysis of public transportation systems
  186. Minimum-distortion embedding
  187. Tree-partitioning as an emergency measure to contain cascading line failures
  188. Temporally-weighted hierarchical clustering for unsupervised action segmentation
  189. Lattice bijections for string modules, snake graphs and the weak Bruhat order
  190. Scaling up graph neural networks via graph coarsening
  191. Symbol alphabets from tensor diagrams
  192. Scalable Shared-Memory Hypergraph Partitioning∗
  193. Sombor index of certain graphs
  194. Elastic graph neural networks
  195. Self-supervised learning of graph neural networks: A unified review
  196. Hierarchical clustering with discrete latent variable models and the integrated classification likelihood
  197. Posterior consistency of semi-supervised regression on graphs
  198. Sound detection monitoring tool in CNC milling sounds by K-means clustering algorithm
  199.  MLPF: efficient machine-learned particle-flow reconstruction using graph neural networks
  200. Learning deep sparse regularizers with applications to multi-view clustering and semi-supervised classification
  201. Semi-supervised classification of graph convolutional networks with Laplacian rank constraints
  202. Measuring the network vulnerability based on Markov criticality
  203. A review of medical image segmentation algorithms
  204. Sombor index of polymers
  205.  The two-loop remainder function for eight and nine particles
  206. Finite-time and fixed-time bipartite synchronization of complex networks with signed graphs
  207. Emergence of cooperation in spatial social dilemmas with expulsion
  208. Multilevel combinatorial optimization across quantum architectures
  209.  Application and evaluation of knowledge graph embeddings in biomedical data
  210. Adaptive cluster-based heuristic approach in cognitive radio networks for 5G applications
  211. How do hyperedges overlap in real-world hypergraphs?-patterns, measures, and generators
  212.  A multilevel clustering technique for community detection
  213. A Hierarchical Block Distance Model for Ultra Low-Dimensional Graph Representations
  214.  Targeted pandemic containment through identifying local contact network bottlenecks
  215. A note on letters of Yangian invariants
  216. Group testing with a graph infection spread model
  217. LPA-MNI: an improved label propagation algorithm based on modularity and node importance for community detection
  218. Impact of fracture geometry and topology on the connectivity and flow properties of stochastic fracture networks
  219.  A survey of community detection methods in multilayer networks
  220.  Recursive MAGUS: Scalable and accurate multiple sequence alignment
  221. Statistical shape analysis of brain arterial networks (ban)
  222. Graph neural network encoding for community detection in attribute networks
  223. Community detection in social recommender systems: a survey
  224. Training graph neural networks with 1000 layers
  225. Seastar: vertex-centric programming for graph neural networks
  226. A survey of RDF stores & SPARQL engines for querying knowledge graphs
  227. On approximability of clustering problems without candidate centers
  228.  Explainability of neural network clustering in interpreting the COVID-19 emergency data
  229. Recent advances in fully dynamic graph algorithms
  230. Flipped-OCN method in mathematics learning to analyze the attitudes of pre-service teachers
  231. Methodology and models for individuals’ creditworthiness management using digital footprint data and machine learning methods
  232. Mapping and clustering analysis on environmental, social and governance field a bibliometric analysis using Scopus
  233. Parameterized algorithms for the happy set problem
  234. Review on optimization methodologies in transmission network reconfiguration of power systems for grid resilience
  235.  Deep graph mapper: Seeing graphs through the neural lens
  236.  Identification of bovine, porcine and fish gelatin signatures using chemometrics fuzzy graph method
  237. Topic analysis and development in knowledge graph research: A bibliometric review on three decades
  238. Percolation on complex networks: Theory and application
  239.  Survey on botnet detection techniques: classification, methods, and evaluation
  240.  Clustering mixed numerical and categorical data with missing values
  241. Fuzzy C-Means clustering algorithm for data with unequal cluster sizes and contaminated with noise and outliers: Review and development
  242.  A novel community detection based genetic algorithm for feature selection
  243. Notes on cluster algebras and some all-loop Feynman integrals
  244.  Multi-view attribute graph convolution networks for clustering
  245.  Algebraic branch points at all loop orders from positive kinematics and wall crossing
  246. Generative hypergraph clustering: From blockmodels to modularity
  247. A weighted K-member clustering algorithm for K-anonymization
  248. A modified DeepWalk method for link prediction in attributed social network
  249. Multiview subspace clustering using low-rank representation
  250. A clustering detector with graph theory for blind detection of spatial modulation systems
  251. Optimization of fuzzy c-means clustering algorithm with combination of minkowski and chebyshev distance using principal component analysis
  252.  Interpretable clustering: an optimization approach
  253.  Statistical hierarchical clustering algorithm for outlier detection in evolving data streams
  254.  Model-based deep embedding for constrained clustering analysis of single cell RNA-seq data
  255. SciKGraph: A knowledge graph approach to structure a scientific field
  256. Fast similarity computation for t-SNE
  257.  Directed closure coefficient and its patterns
  258. Automation of economic activity management of high-tech structures of innovation-oriented clusters
  259.  Power-law bounds for critical long-range percolation below the upper-critical dimension
  260. A survey of community detection approaches: From statistical modeling to deep learning
  261. Laser-induced breakdown spectroscopy and chemometric analysis of black toners for forensic applications
  262. Skin cancer detection from dermoscopic images using deep learning and fuzzy k-means clustering
  263. One-step spectral rotation clustering for imbalanced high-dimensional data
  264. A classification of community detection methods in social networks: a survey
  265. SNN_flow: a shared nearest-neighbor-based clustering method for inhomogeneous origin-destination flows
  266. Lagrangian fillings for Legendrian links of finite type
  267.  Automatic clustering method to segment COVID-19 CT images
  268. Skein and cluster algebras of marked surfaces without punctures for
  269.  Balance and fragmentation in societies with homophily and social balance
  270.  Datasets Finders and Best Public Datasets for Machine Learning and Data Science Applications
  271. Tangle-tree duality in abstract separation systems
  272.  Graph-Based Link Prediction between Human Phenotypes and Genes
  273. A novel hybrid fuzzy time series model for prediction of COVID-19 infected cases and deaths in India
  274. Rubik: A hierarchical architecture for efficient graph neural network training
  275. Learning a self-expressive network for subspace clustering
  276. Evolutionary algorithm and multifactorial evolutionary algorithm on clustered shortest-path tree problem
  277. World model as a graph: Learning latent landmarks for planning
  278. Mathematical modeling and a hybrid evolutionary algorithm for process planning
  279. Semisupervised affinity matrix learning via dual-channel information recovery
  280.  Fuzzy mixed graphs and its application to identification of COVID19 affected central regions in India
  281. Towards unsupervised deep graph structure learning
  282. Fuzzy community detection on the basis of similarities in structural/attribute in large-scale social networks
  283. Nonlinear manifold learning in functional magnetic resonance imaging uncovers a low-dimensional space of brain dynamics
  284. Imputing single-cell RNA-seq data by considering cell heterogeneity and prior expression of dropouts
  285.  A comparison of 71 binary similarity coefficients: The effect of base rates
  286. Clusterability in neural networks
  287.  Generalized and scalable trajectory inference in single-cell omics data with VIA
  288. Deep learning on graphs for natural language processing
  289. Efficient network immunization under limited knowledge
  290. Multi-objective lifecycle optimization for oil palm fertilizer formulation: A hybrid P-graph and TOPSIS approach
  291. Multi-level parallel scheduling of dependent-tasks using graph-partitioning and hybrid approaches over edge-cloud
  292. A review of q-rung orthopair fuzzy information: bibliometrics and future directions
  293. Validating clustering frameworks for electric load demand profiles
  294. Percolation and the pandemic
  295. Approximate counting and sampling via local central limit theorems
  296. Memetic differential evolution methods for clustering problems
  297. Covariate regularized community detection in sparse graphs
  298. Understanding evolution of maritime networks from automatic identification system data
  299. Unsupervised classification of AVIRIS-NG hyperspectral images
  300. A density-peak-based clustering algorithm of automatically determining the number of clusters
  301. A stable community detection approach for complex network based on density peak clustering and label propagation
  302. CANE: community-aware network embedding via adversarial training
  303. One-size does not fit all: Towards an adaptive model to develop preservice teachers’ digital competencies
  304. A three-way density peak clustering method based on evidence theory
  305. Semi-supervised classification by graph p-laplacian convolutional networks
  306.  The impact of integrated cluster-based storage allocation on parts-to-picker warehouse performance
  307. Modeling nonlinear dynamics of fluency development in an embodied-design mathematics learning environment with Recurrence Quantification Analysis
  308. A novel UAV path planning algorithm to search for floating objects on the ocean surface based on object’s trajectory prediction by regression
  309.  Cluster-based flow control in hybrid software-defined wireless sensor networks
  310. A multi-view clustering algorithm for mixed numeric and categorical data
  311. Deep multi-kernel auto-encoder network for clustering brain functional connectivity data
  312. A mathematical perspective on edge-centric functional connectivity
  313.  Charged particle tracking via edge-classifying interaction networks
  314.  Graph representation learning for single-cell biology
  315. What do we see when we look at networks: Visual network analysis, relational ambiguity, and force-directed layouts
  316. A comprehensive survey on graph anomaly detection with deep learning
  317. Graph neural networks in network neuroscience
  318. Structure, characteristics and connectivity analysis of the asian-australasian cruise shipping network
  319. Clustering using kernel entropy principal component analysis and variable kernel estimator
  320. Diversity and consistency embedding learning for multi-view subspace clustering
  321.  DQRE-SCnet: a novel hybrid approach for selecting users in federated learning with deep-Q-reinforcement learning based on spectral clustering
  322. Building a fuzzy classifier based on whale optimization algorithm to detect network intrusions
  323. A survey on graph-based deep learning for computational histopathology
  324. COVID-19 mortality prediction using machine learning-integrated Random Forest algorithm under varying patient frailty
  325.  Gudermannian neural networks using the optimization procedures of genetic algorithm and active set approach for the three-species food chain nonlinear …
  326. A new hybrid routing protocol using a modified K-means clustering algorithm and continuous hopfield network for VANET
  327. Nyström-based spectral clustering using airborne LiDAR point cloud data for individual tree segmentation
  328. Directional graph networks
  329. Control and optimization of air traffic networks
  330. Sampling methods for efficient training of graph convolutional networks: A survey
  331. … analysis between the experimental and numeric methods on viscosity of zirconium oxide nanofluid: Developing optimal artificial neural network and new mathematical …
  332. GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks
  333. Pre-university students’ mathematical connections when sketching the graph of derivative and antiderivative functions
  334.  Contrastive self-supervised clustering of scRNA-seq data
  335.  Certain properties of domination in product vague graphs with an application in medicine
  336.  FlavorGraph: a large-scale food-chemical graph for generating food representations and recommending food pairings
  337.  The aging effect in evolving scientific citation networks
  338. Deep multi-view learning methods: a review
  339.  Diagnosis of COVID-19 pneumonia based on graph convolutional network
  340. Cluster-based data transmission scheme in wireless sensor networks using black hole and ant colony algorithms
  341. Migration-based moth-flame optimization algorithm
  342. Identification of heavy metal pollution sources and its associated risk assessment in an industrial town using the K-means clustering technique
  343. Frontoparietal beta amplitude modulation and its interareal cross-frequency coupling in visual working memory
  344. Minimizing the spread of misinformation in online social networks: A survey
  345. Learning robust affinity graph representation for multi-view clustering
  346. A bounded-confidence model of opinion dynamics on hypergraphs
  347. A new subspace clustering strategy for AI-based data analysis in IoT system
  348. Mary, Hugo, and Hugo*: Learning to schedule distributed data-parallel processing jobs on shared clusters
  349. Second-order consensus of multiagent systems with matrix-weighted network
  350. Provable guarantees for self-supervised deep learning with spectral contrastive loss
  351. Unlabeled skin lesion classification by self-supervised topology clustering network
  352.  Graph-powered machine learning
  353. A bi-level encoding scheme for the clustered shortest-path tree problem in multifactorial optimization
  354. Multimodal data visualization, denoising and clustering with integrated diffusion
  355. COMPLETER: Incomplete multi-view clustering via contrastive prediction
  356. Leak detection and localization in water distribution networks by combining expert knowledge and data-driven models
  357. Clustering method and sine cosine algorithm for image segmentation
  358. Graph attention multi-layer perceptron
  359. Measuring node contribution to community structure with modularity vitality
  360. Social network analysis taxonomy based on graph representation
  361. AXIN1 knockout does not alter AMPK/mTORC1 regulation and glucose metabolism in mouse skeletal muscle
  362. Global consistent graph convolutional network for hyperspectral image classification
  363.  Modeling and tracking Covid-19 cases using Big Data analytics on HPCC system platform
  364.  Learning future terrorist targets through temporal meta-graphs
  365. Recent trends in knowledge graphs: theory and practice
  366. Semi-supervised learning with mixed-order graph convolutional networks
  367. Fast hierarchical clustering of local density peaks via an association degree transfer method
  368. Reverse graph learning for graph neural network
  369.  South Asian Countries are less fatal concerning COVID-19: a fact-finding procedure integrating machine learning & multiple criteria decision-making (MCDM) …
  370. A similarity measure for second order properties of non-stationary functional time series with applications to clustering and testing
  371. Faster index reordering with bipartite graph partitioning
  372. Dual-manifold regularized regression models for feature selection based on hesitant fuzzy correlation
  373. Metaheuristic optimization-based resource allocation technique for cybertwin-driven 6G on IoE environment
  374. Solving graph coloring problem using divide and conquer-based turbulent particle swarm optimization
  375. Correlation coefficient of T-spherical type-2 hesitant fuzzy sets and their applications in clustering analysis
  376.  Planar random-cluster model: fractal properties of the critical phase
  377. 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 …
  378. The expander hierarchy and its applications to dynamic graph algorithms
  379. Scikit-dimension: A python package for intrinsic dimension estimation
  380. Room semantics inference using random forest and relational graph convolutional networks: A case study of research building
  381. Locally differentially private analysis of graph statistics
  382. Graphgt: Machine learning datasets for graph generation and transformation
  383. Dynamics on higher-order networks: A review
  384.  Graph representation learning for road type classification
  385. Graph-Regularized Non-Negative Tensor-Ring Decomposition for Multiway Representation Learning
  386. The support of the process of training pre-service mathematics teachers by means of cloud services
  387. Sensitive integration of multilevel optimization model in human activity recognition for smartphone and smartwatch applications
  388.  Regularized graph matching for correspondence identification under uncertainty in collaborative perception
  389. Influential nodes detection in complex networks via diffusion Fréchet function
  390. Biochar in the 21st century: A data-driven visualization of collaboration, frontier identification, and future trend
  391. Nonlocal graph theory based transductive learning for hyperspectral image classification
  392. Joint representation learning for multi-view subspace clustering
  393. Consensus in multi-agent systems: A review
  394. Multiscale spatio-temporal graph neural networks for 3d skeleton-based motion prediction
  395. Construction safety knowledge sharing on Twitter: A social network analysis
  396.  The connectedness of the coronavirus disease pandemic in the world: A study based on complex network analysis
  397. Graph neural network: Current state of Art, challenges and applications
  398. A survey about community detection over On-line Social and Heterogeneous Information Networks
  399. Decoupling the depth and scope of graph neural networks
  400. Quantitative analysis of the kinematics and induced aerodynamic loading of individual vortices in vortex-dominated flows: a computation and data-driven approach
  401. Two phase cluster validation approach towards measuring cluster quality in unstructured and structured numerical datasets
  402. St-trader: A spatial-temporal deep neural network for modeling stock market movement
  403. CMC: a consensus multi-view clustering model for predicting Alzheimer’s disease progression
  404. DMFO-CD: A Discrete Moth-Flame Optimization Algorithm for Community Detection
  405. B-MFO: a binary moth-flame optimization for feature selection from medical datasets
  406. Self-training enhanced: Network embedding and overlapping community detection with adversarial learning
  407. Ship trajectory prediction based on bi-LSTM using spectral-clustered AIS data
  408.  GIANA allows computationally-efficient TCR clustering and multi-disease repertoire classification by isometric transformation
  409. Positively correlated samples save pooled testing costs
  410. Integration of multiomics data with graph convolutional networks to identify new cancer genes and their associated molecular mechanisms
  411. Graph Theory on Brain Cortical Sources in Parkinson’s Disease: The Analysis of ‘Small World’Organization from EEG
  412. Event-based motion segmentation with spatio-temporal graph cuts
  413. HBlogRec: a hybridized cognitive knowledge scheme for blog recommendation infusing XGBoosting and semantic intelligence
  414.  Node and edge nonlinear eigenvector centrality for hypergraphs
  415.  Developing a mathematical model of the co-author recommender system using graph mining techniques and big data applications
  416.  Introduction to high-dimensional statistics
  417. A novel ensemble statistical topic extraction method for scientific publications based on optimization clustering
  418. Binary graph neural networks
  419.  Deep graph similarity learning: A survey
  420. Multi-view spectral clustering for uncertain objects
  421. Energy efficient scheme for better connectivity in sustainable mobile wireless sensor networks
  422. Trend analysis using agglomerative hierarchical clustering approach for time series big data
  423.  TIMSS 2019 user guide for the international database
  424.  Tuning Database-Friendly Random Projection Matrices for Improved Distance Preservation on Specific Data
  425. Balanced graph-based regularized semi-supervised extreme learning machine for EEG classification
  426. Utilizing graph machine learning within drug discovery and development
  427. Distributed two-time-scale methods over clustered networks
  428. Clustering in a hyperbolic model of complex networks
  429.  Model-based clustering for random hypergraphs
  430. Intrinsic radiomic expression patterns after 20 Gy demonstrate early metabolic response of oropharyngeal cancers
  431. Generative partial multi-view clustering with adaptive fusion and cycle consistency
  432. Deep learning for pattern recognition of photovoltaic energy generation
  433. GGL-Tox: geometric graph learning for toxicity prediction
  434. Partitioning a graph into balanced connected classes: Formulations, separation and experiments
  435. Spatial clustering of willingness to pay for ecosystem services
  436. A literature review on network reliability analysis and its engineering applications
  437. Matérn Gaussian processes on graphs
  438. Robust line segment matching across views via ranking the line-point graph
  439.  Consensus clustering applied to multi-omics disease subtyping
  440. Self-organised critical dynamics as a key to fundamental features of complexity in physical, biological, and social networks
  441. Spatio-geologically informed fuzzy classification: an innovative method for recognition of mineralization-related patterns by integration of elemental, 3D spatial, and …
  442. Disentangling homophily, community structure, and triadic closure in networks
  443. Learning Artificial Intelligence: Insights into How Youth Encounter and Build Understanding of AI Concepts
  444. What to teach? Strategies for developing digital competency in preservice teacher training
  445. Multiple kernel clustering with compressed subspace alignment
  446. Wasserstein-based graph alignment
  447. Unified polynomial Dynamic Programming algorithms for p-center variants in a 2D Pareto Front
  448. Fault diagnosis approach for photovoltaic array based on the stacked auto-encoder and clustering with IV curves
  449. Adaptive knowledge transfer in multifactorial evolutionary algorithm for the clustered minimum routing cost problem
  450. Time series analysis via network science: Concepts and algorithms
  451. Coincidence complex networks
  452. Multilayer networks for text analysis with multiple data types
  453. Graph-coupled oscillator networks
  454.  Climate Field Completion via Markov Random Fields: Application to the HadCRUT4. 6 Temperature Dataset
  455. Hybrid intelligent framework for automated medical learning
  456.  Active, aggressive, but to little avail: characterizing bot activity during the 2020 Singaporean elections
  457. Exploration of the global air transport network using social network analysis
  458.  A new recommendation system using map-reduce-based tournament empowered Whale optimization algorithm
  459. Polygraph: Exposing the value of flexibility for graph processing accelerators
  460. Variational graph autoencoders for multiview canonical correlation analysis
  461. Parallel and scalable Dunn Index for the validation of big data clusters
  462.  Deep hybrid: multi-graph neural network collaboration for hyperspectral image classification
  463. Unsupervised hyperbolic representation learning via message passing auto-encoders
  464.  A theory of spectral partitions of metric graphs
  465. Concurrence percolation in quantum networks
  466. Optimal energy management strategy for plug-in hybrid electric vehicles based on a combined clustering analysis
  467. Hierarchies in communities of UK stock market from the perspective of Brexit
  468. Role of machine learning in resource allocation strategy over vehicular networks: a survey
  469. Discovering Overlapping Communities Based on Cohesive Subgraph Models over Graph Data
  470. Graph-based neural network models with multiple self-supervised auxiliary tasks
  471. A spectral representation of power systems with applications to adaptive grid partitioning and cascading failure localization
  472. Pde-gcn: Novel architectures for graph neural networks motivated by partial differential equations
  473.  scMC learns biological variation through the alignment of multiple single-cell genomics datasets
  474. Multiview subspace clustering via co-training robust data representation
  475. Unsupervised learning methods for molecular simulation data
  476. A comprehensive survey of knowledge graph-based recommender systems: Technologies, development, and contributions
  477. Shabaz–Urvashi link prediction (SULP): a novel approach to predict future friends in a social network
  478. Morphological and functional polycentric structure assessment of megacity: An integrated approach with spatial distribution and interaction
  479. Quantum spectral clustering
  480. Grain: Improving data efficiency of graph neural networks via diversified influence maximization
  481. Q-neutrosophic soft graphs in operations management and communication network
  482.  Artificial Neural Network Training Criterion Formulation Using Error Continuous Domain.
  483. Forman persistent Ricci curvature (FPRC)-based machine learning models for protein–ligand binding affinity prediction
  484. Learning to schedule job-shop problems: representation and policy learning using graph neural network and reinforcement learning
  485. Decentralized local stochastic extra-gradient for variational inequalities
  486. On financial market correlation structures and diversification benefits across and within equity sectors
  487. Application of community detection algorithms on learning networks. The case of Khan Academy repository
  488. A novel clustering ensemble model based on granular computing
  489. Deep soft clustering: simultaneous deep embedding and soft-partition clustering
  490. TCD2: Tree-based community detection in dynamic social networks
  491. Operations Research: Topics, Impact, and Trends from 1952–2019
  492. A hybrid meta-heuristic task scheduling algorithm based on genetic and thermodynamic simulated annealing algorithms in cloud computing environments
  493. A survey on embedding dynamic graphs
  494.  Computational study of the geometric properties governing the linear mechanical behavior of fiber networks
  495. Magface: A universal representation for face recognition and quality assessment
  496.  Probabilistic machine learning: an introduction
  497.  Multihop neighbor information fusion graph convolutional network for text classification
  498. Clan embeddings into trees, and low treewidth graphs
  499. Representation learning of graphs using graph convolutional multilayer networks based on motifs
  500. A novel dynamic clustering approach for energy hole mitigation in Internet of Things-based wireless sensor network
  501. Subcubic algorithms for Gomory–Hu tree in unweighted graphs
  502. Atomic embeddability, clustered planarity, and thickenability
  503. Ego-gnns: Exploiting ego structures in graph neural networks
  504. Deep embedded multi-view clustering with collaborative training
  505. Semi-supervised anomaly detection algorithms: A comparative summary and future research directions
  506.  Research on the route pricing optimization model of the car-free carrier platform based on the BP neural network algorithm
  507. HiSCF: leveraging higher-order structures for clustering analysis in biological networks
  508. Learning deep discriminative representations with pseudo supervision for image clustering
  509. Advances in meta-heuristic optimization algorithms in big data text clustering
  510. Deep autoencoder-based community detection in complex networks with particle swarm optimization and continuation algorithms
  511. Reduced order modeling of diffusively coupled network systems: An optimal edge weighting approach
  512. Instance Segmentation Gnns for One-Shot Conformal Tracking at the LHC
  513. A novel cluster-based approach for keyphrase extraction from MOOC video lectures
  514. Implementing spiking neural networks on neuromorphic architectures: A review
  515. Towards 6G IoT: Tracing mobile sensor nodes with deep learning clustering in UAV networks
  516. Artificial intelligence applications in supply chain management
  517. Large scale learning on non-homophilous graphs: New benchmarks and strong simple methods
  518.  Squidpy: a scalable framework for spatial omics analysis
  519. Deep learning for anomaly detection in time-series data: review, analysis, and guidelines
  520. Automatic Graph Learning Convolutional Networks for Hyperspectral Image Classification
  521. Generic visual data mining-based framework for revealing abnormal operation patterns in building energy systems
  522. Cutqc: using small quantum computers for large quantum circuit evaluations
  523. Low-carbon technology collaborative innovation in industrial cluster with social exclusion: an evolutionary game theory perspective
  524. Survey on ten years of multi-depot vehicle routing problems: mathematical models, solution methods and real-life applications
  525.  Connectivity and Wiener index of fuzzy incidence graphs
  526.  Cluster Analysis and Applications
  527. Socio-Transactional Impact of Recency, Frequency, and Monetary Features oN Customers’ Behaviour in Telecoms’ Churn Prediction
  528. A spectral clustering with self-weighted multiple kernel learning method for single-cell RNA-seq data
  529.  Quantifying the separability of data classes in neural networks
  530. A graph-based modeling abstraction for optimization: Concepts and implementation in plasmo. jl
  531.  Dissecting transition cells from single-cell transcriptome data through multiscale stochastic dynamics
  532. Pangenomics enables genotyping of known structural variants in 5202 diverse genomes
  533. MDER: modified degree with exclusion ratio algorithm for influence maximisation in social networks
  534. Fair clustering under a bounded cost
  535.  LineageOT is a unified framework for lineage tracing and trajectory inference
  536.  Constructing dynamic brain functional networks via hyper-graph manifold regularization for mild cognitive impairment classification
  537. A parallel multi-objective evolutionary algorithm for community detection in large-scale complex networks
  538. Feature-extraction and analysis based on spatial distribution of amino acids for SARS-CoV-2 Protein sequences
  539. Non-standard bioinformatics characterization of SARS-CoV-2
  540. Encoding the atomic structure for machine learning in materials science
  541. Weather, mental health, and mobility during the first wave of the COVID-19 pandemic
  542. The SAGEX Review on scattering amplitudes, Chapter 5: Analytic bootstraps for scattering amplitudes and beyond
  543.  Different spreading dynamics throughout Germany during the second wave of the COVID-19 pandemic: a time series study based on national surveillance …
  544. Infrared small target detection based on partial sum minimization and total variation
  545. Representation of the universe as a dendrogramic hologram endowed with relational interpretation
  546. Cooperative Task Allocation of Multiple VA Vs Based on Greedy Algorithm
  547. DPCMNE: detecting protein complexes from protein-protein interaction networks via multi-level network embedding
  548. A two-stage hybrid ant colony optimization for high-dimensional feature selection
  549. Melanoma detection using spatial and spectral analysis on superpixel graphs
  550.  Improving the open cluster census-I. Comparison of clustering algorithms applied to Gaia DR2 data
  551. Context-aware service recommendation based on knowledge graph embedding
  552. Improved density-based learning to cluster for user web log in data mining
  553. Ollivier persistent ricci curvature-based machine learning for the protein–ligand binding affinity prediction
  554. Dual self-paced multi-view clustering
  555.  Leveraging the Cell Ontology to classify unseen cell types
  556. Graph coarsening with neural networks
  557. Deep learning-based community detection in complex networks with network partitioning and reduction of trainable parameters
  558. AI-assisted energy-efficient and intelligent routing for reconfigurable wireless networks
  559. The coalescence of incipient soot clusters
  560. Hypergraphs for predicting essential genes using multiprotein complex data
  561.  SMART: A Situation Model for Algebra Story Problems via Attributed Grammar.
  562. Event-stream representation for human gaits identification using deep neural networks
  563. Faster cut-equivalent trees in simple graphs
  564. Persistent Laplacians: Properties, algorithms and implications
  565. Statistically-robust clustering techniques for mapping spatial hotspots: A survey
  566.  H3K27me3 demethylases alter HSP22 and HSP17. 6C expression in response to recurring heat in Arabidopsis
  567. Mocl: Contrastive learning on molecular graphs with multi-level domain knowledge
  568. The physics of higher-order interactions in complex systems
  569. Topological characterization and graph entropies of tessellations of kekulene structures: existence of isentropic structures and applications to thermochemistry …
  570.  Variational quantum eigensolver with reduced circuit complexity
  571.  Picture fuzzy incidence graphs with application
  572. Artificial Benchmark for Community Detection (ABCD)—Fast random graph model with community structure
  573. {GNNAdvisor}: An Adaptive and Efficient Runtime System for {GNN} Acceleration on {GPUs}
  574. Robust subspace clustering based on automatic weighted multiple kernel learning
  575.  A personalized eccentric cyber-physical system Architecture for smart healthcare
  576. Fast linking of mathematical Wikidata entities in Wikipedia articles using annotation recommendation
  577. Pattern recognition and event detection on iot data-streams
  578.  Algebraic graph-assisted bidirectional transformers for molecular property prediction
  579. A multi-scale brain map derived from whole-brain volumetric reconstructions
  580. A streamlined scRNA-Seq data analysis framework based on improved sparse subspace clustering
  581. A link between approximation theory and summability methods via four-dimensional infinite matrices
  582. A new view about connections: the mathematical connections established by a teacher when teaching the derivative
  583. Cluster analysis and model comparison using smart meter data
  584. On defining and finding islands of trees and mitigating large island bias
  585. TopoAct: Visually exploring the shape of activations in deep learning
  586. Bio-inspired algorithms and its applications for optimization in fuzzy clustering
  587. Topic modeling combined with classification technique for extractive multi-document text summarization
  588.  The effects of remote work on collaboration among information workers
  589. RallyComparator: visual comparison of the multivariate and spatial stroke sequence in table tennis rally
  590.  Breast cancer segmentation methods: current status and future potentials
  591. MAGUS+ eHMMs: improved multiple sequence alignment accuracy for fragmentary sequences
  592. Online discriminative graph learning from multi-class smooth signals
  593. An ensemble topic extraction approach based on optimization clusters using hybrid multi-verse optimizer for scientific publications
  594. The joint order batching and picker routing problem: Modelled and solved as a clustered vehicle routing problem
  595. The emerging field of graph signal processing for moving object segmentation
  596.  HiDeF: identifying persistent structures in multiscale ‘omics data
  597.  MultiMAP: dimensionality reduction and integration of multimodal data
  598. Dynamic and thermodynamic models of adaptation
  599. Belief propagation for networks with loops
  600. A survey on deep learning and its applications
  601. Feature extraction approaches for biological sequences: a comparative study of mathematical features
  602. A graph placement methodology for fast chip design
  603. A comprehensive survey and experimental comparison of graph-based approximate nearest neighbor search
  604. The overlap gap property: A topological barrier to optimizing over random structures
  605.  A novel mathematical model for COVID-19 with remedial strategies
  606. Discriminative subspace matrix factorization for multiview data clustering
  607. Lieb-Robinson bound and almost-linear light cone in interacting boson systems
  608.  Skill scanner: connecting and supporting employers, job seekers and educational institutions with an AI-based recommendation system
  609. Learning parametrised graph shift operators
  610. A Survey on Multimedia Analytics in Security Systems of Cyber Physical Systems and IoT
  611. Transfer learning of graph neural networks with ego-graph information maximization
  612. Characterizing spatial gene expression heterogeneity in spatially resolved single-cell transcriptomic data with nonuniform cellular densities
  613. A hetero-functional graph resilience analysis of the future American electric power system
  614.  Benchmarking graph neural networks for materials chemistry
  615. Optimality of spectral clustering in the Gaussian mixture model
  616. Phase transitions of the k-majority dynamics in a biased communication model
  617. Logistics optimization through a social approach for food distribution
  618. Sugar: Subgraph neural network with reinforcement pooling and self-supervised mutual information mechanism
  619. A multiple-kernel clustering based intrusion detection scheme for 5G and IoT networks
  620. Contrastive clustering
  621. A note on one-loop cluster adjacency in N = 4 SYM
  622. Applications of picture fuzzy similarity measures in pattern recognition, clustering, and MADM
  623. Joint auto-weighted graph fusion and scalable semi-supervised learning
  624. Projected fuzzy C-means clustering with locality preservation
  625. A two-stage black-spot identification model for inland waterway transportation
  626. Distributed nonlinear polynomial graph filter and its output graph spectrum: Filter analysis and design
  627. The potential of AI in health higher education to increase the students’ learning outcomes
  628.  Predictive modeling based on small data in clinical medicine: RBF-based additive input-doubling method
  629. Graph embedding-based intelligent industrial decision for complex sewage treatment processes
  630. An efficient framework for anomaly detection in attributed social networks
  631. Multi-scale representation learning on proteins
  632.  A quantum processor based on coherent transport of entangled atom arrays
  633. Tight Lipschitz hardness for optimizing mean field spin glasses
  634.  Deep neural network and model-based clustering technique for forensic electronic mail author attribution
  635. Teachers’ ontological perspectives of computational thinking and assessment: A text mining approach
  636. A simulated annealing algorithm with a dual perturbation method for clustering
  637. Reorganization of functional brain network architecture in chronic osteoarthritis pain
  638. Unsupervised deep clustering of seismic data: monitoring the Ross ice shelf, Antarctica
  639. A new clustering mining algorithm for multi-source imbalanced location data
  640. A multi-perspective malware detection approach through behavioral fusion of api call sequence
  641. A survey on heterogeneous graph embedding: methods, techniques, applications and sources
  642. GraphBLAST: A high-performance linear algebra-based graph framework on the GPU
  643. Integration of BIM and GIS for construction automation, a systematic literature review (SLR) combining bibliometric and qualitative analysis
  644. Discovering new intents with deep aligned clustering
  645. Mono2micro: a practical and effective tool for decomposing monolithic java applications to microservices
  646.  Computer and Information Sciences
  647. Frustration-induced emergent hilbert space fragmentation
  648. Analysis of security and energy efficiency for shortest route discovery in low-energy adaptive clustering hierarchy protocol using Levenberg-Marquardt neural network …
  649. A hybrid theory of event memory
  650. Network geometry
  651.  Hybrid harmony search algorithm for social network contact tracing of COVID-19
  652. Ecological and economic aspects of sustainable development of Ukrainian regions
  653. The m= 2 amplituhedron and the hypersimplex: signs, clusters, triangulations, Eulerian numbers
  654. Unifying the global and local approaches: an efficient power iteration with forward push
  655. Typical periods or typical time steps? A multi-model analysis to determine the optimal temporal aggregation for energy system models
  656. A systematic review on data mining for mathematics and science education
  657. Particle swarm intelligence and the evolution of cooperation in the spatial public goods game with punishment
  658. … 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 …
  659. Modelling and simulations of the SEIR and Blood Coagulation systems using Atangana-Baleanu-Caputo derivative
  660. Application in augmented reality for learning mathematical functions: A study for the development of spatial intelligence in secondary education students
  661. Identifying multiple influential spreaders based on maximum connected component decomposition method
  662. Hybrid-hypergraph regularized multiview subspace clustering for hyperspectral images
  663.  Single-cell transcriptome atlas and chromatin accessibility landscape reveal differentiation trajectories in the rice root
  664. Dynamic relationship identification for abnormality detection on financial time series
  665. Sampling business process event logs using graph-based ranking model
  666. Planar and toroidal morphs made easier
  667. Mediating Effect of Self-Efficacy on the Relationship between Instruction and Students’ Mathematical Reasoning.
  668. A study on cubic graphs with novel application
  669.  A machine-learning approach to predict creep properties of Cr–Mo steel with time-temperature parameters
  670. Sir-gn: A fast structural iterative representation learning approach for graph nodes
  671. Fake news agenda in the era of COVID-19: Identifying trends through fact-checking content
  672. Unsupervised neural networks for automatic Arabic text summarization using document clustering and topic modeling
  673. Partially view-aligned representation learning with noise-robust contrastive loss
  674. A graph-based convolutional neural network stock price prediction with leading indicators
  675. Error-protected qubits in a silicon photonic chip
  676.  Towards multi-modal causability with graph neural networks enabling information fusion for explainable AI
  677. A novel data representation framework based on nonnegative manifold regularisation
  678. Household bubbles and COVID-19 transmission: insights from percolation theory
  679. Graph-based semi-supervised learning: A comprehensive review
  680. Opinion diffusion and campaigning on society graphs
  681. Comparative analysis of molecular fingerprints in prediction of drug combination effects
  682. UMAP-assisted K-means clustering of large-scale SARS-CoV-2 mutation datasets
  683.  scGCN is a graph convolutional networks algorithm for knowledge transfer in single cell omics
  684. Multiview subspace clustering by an enhanced tensor nuclear norm
  685.  Cross-tissue organization of the fibroblast lineage
  686. Detection of differentially abundant cell subpopulations in scRNA-seq data
  687. Network neuroscience and the connectomics revolution
  688.  A survey on clustering methods for distributed and networked control systems
  689. A hybrid 3D feature recognition method based on rule and graph
  690. A novel Gauss-Laplace operator based on multi-scale convolution for dance motion image enhancement
  691.  Clustering bivariate dependencies of compound precipitation and wind extremes over Great Britain and Ireland
  692.  Teaching science: Knowledge, language, pedagogy
  693. Community detection and matrix completion with social and item similarity graphs
  694.  Analysis of the evolution and collaboration networks of citizen science scientific publications
  695. Degree-based entropy of molecular structure of hyaluronic acid–curcumin conjugates
  696. Learning physical properties of anomalous random walks using graph neural networks
  697.  Objective-Based Hierarchical Clustering of Deep Embedding Vectors.
  698. Exploiting knowledge graphs in industrial products and services: a survey of key aspects, challenges, and future perspectives
  699.  Dimensionality reduction by UMAP reinforces sample heterogeneity analysis in bulk transcriptomic data
  700. Scaling up real networks by geometric branching growth
  701. Absence of fast scrambling in thermodynamically stable long-range interacting systems
  702. Interdependence between green financial instruments and major conventional assets: a wavelet-based network analysis
  703. An early stage researcher’s primer on systems medicine terminology
  704. Bipartite entanglement of decohered mixed states generated from maximally entangled cluster states
  705.  Filho
  706.  Improved lower bound of LFMD with applications of prism-related networks
  707. VGL: a high-performance graph processing framework for the NEC SX-Aurora TSUBASA vector architecture
  708. Computer vision and human behaviour, emotion and cognition detection: A use case on student engagement
  709.  Dynamic graph exploration by interactively linked node-link diagrams and matrix visualizations
  710. Event log preprocessing for process mining: a review
  711. Domain-specific knowledge graphs: A survey
  712.  Dynamics of epidemic spreading on connected graphs
  713. A quantum computing view on unitary coupled cluster theory
  714. Influence decision models: From cooperative game theory to social network analysis
  715. Relational learning analysis of social politics using knowledge graph embedding
  716. Fast parallel algorithms for euclidean minimum spanning tree and hierarchical spatial clustering
  717. Near-Optimal Two-Pass Streaming Algorithm for Sampling Random Walks over Directed Graphs
  718. Unsupervised spatially embedded deep representation of spatial transcriptomics
  719. Can students with different language backgrounds profit equally from a language-responsive instructional approach for percentages? Differential effectiveness in a …
  720. DGraph Clusters Flaviviruses and β-Coronaviruses According to Their Hosts, Disease Type, and Human Cell Receptors
  721. Current trends in flow cytometry automated data analysis software
  722. Modern perspectives on near-equilibrium analysis of Turing systems
  723.  Semiautomatic robust regression clustering of international trade data
  724. Tail risk contagion between international financial markets during COVID-19 pandemic
  725. Nonexchangeable random partition models for microclustering
  726. On similarity
  727. Differentially-private clustering of easy instances
  728.  Understanding How Dimension Reduction Tools Work: An Empirical Approach to Deciphering t-SNE, UMAP, TriMap, and PaCMAP for Data Visualization.
  729.  Dynamic graph convolutional networks with attention mechanism for rumor detection on social media
  730. Projective group consensus of multi-agent systems with arbitrary parameter
  731. Quantum circuits with many photons on a programmable nanophotonic chip
  732. Relationships between the Chicken McNugget Problem, Mutations of Brauer Configuration Algebras and the Advanced Encryption Standard
  733. Independent sets in the middle two layers of Boolean lattice
  734. Clustering of modal-valued symbolic data
  735. Quantitative homogenization of the parabolic and elliptic Green’s functions on percolation clusters
  736. Chemical applicability of Sombor indices
  737.  Dissecting human embryonic skeletal stem cell ontogeny by single-cell transcriptomic and functional analyses
  738. Modeling quantum dot systems as random geometric graphs with probability amplitude-based weighted links
  739. Energy-efficient k-hop clustering in cognitive radio sensor network for Internet of Things
  740. Robust network alignment via attack signal scaling and adversarial perturbation elimination
  741. Coupled layer-wise graph convolution for transportation demand prediction
  742. Mapper Interactive: A scalable, extendable, and interactive toolbox for the visual exploration of high-dimensional data
  743. Quantum annealing versus digital computing: An experimental comparison
  744. Mathematical modeling of coronavirus disease COVID-19 dynamics using CF and ABC non-singular fractional derivatives
  745. Multi-scale evolution mechanism and knowledge construction of a digital twin mimic model
  746. Hamiltonian fuzzy graphs with application to human trafficking
  747.  Mathematical modeling of COVID-19 in 14.8 million individuals in Bahia, Brazil
  748. Dynamics of exact soliton solutions to the coupled nonlinear system using reliable analytical mathematical approaches
  749. Gnnlens: A visual analytics approach for prediction error diagnosis of graph neural networks
  750. Identification and computational analysis of mutations in SARS-CoV-2
  751. Visual analytics of video-clickstream data and prediction of learners’ performance using deep learning models in MOOCs’ courses
  752. Centrality of a communication network of construction project participants and implications for improved project communication
  753.  Information diffusion modeling and analysis for socially interacting networks
  754.  A Unified Framework for Spectral Clustering in Sparse Graphs.
  755. FPT algorithms to compute the elimination distance to bipartite graphs and more
  756.  Graph Convolutional Networks: analysis, improvements and results
  757. Towards real-time counting shortest cycles on dynamic graphs: A hub labeling approach
  758. Factors affecting disaster resilience in Oman: integrating stakeholder analysis and fuzzy cognitive mapping
  759.  Social media intention mining for sustainable information systems: categories, taxonomy, datasets and challenges
  760.  Graph modelling for tracking the COVID-19 pandemic spread
  761. Using anticlustering to partition data sets into equivalent parts.
  762.  Deep learning on graphs
  763. An effective hybrid framework for content based image retrieval (CBIR)
  764. Multivariate time series clustering based on complex network
  765. Large-scale subspace clustering by independent distributed and parallel coding
  766. A comprehensive comparative study of clustering-based unsupervised defect prediction models
  767. The Alpha-Heston stochastic volatility model
  768. Scheduling with communication delays via LP hierarchies and clustering II: weighted completion times on related machines
  769.  Evaluation and comparison of multi-omics data integration methods for cancer subtyping
  770.  Clone-structured graph representations enable flexible learning and vicarious evaluation of cognitive maps
  771. Robust semi-supervised nonnegative matrix factorization for image clustering
  772. An enhanced spectral clustering algorithm with S-distance
  773. Non-hermitian skin clusters from strong interactions
  774. A new graph-based extractive text summarization using keywords or topic modeling
  775.  Signal processing on higher-order networks: Livin’on the edge… and beyond
  776. Robustness of graph neural networks at scale
  777. Temporal analysis of the entire ethereum blockchain network
  778. Impact of lockdown and change in mobility patterns on road fatalities during COVID-19 pandemic
  779.  Spatial autocorrelation and the dynamics of the mean center of COVID-19 infections in Lebanon
  780. Dual space latent representation learning for unsupervised feature selection
  781.  Integrated analysis of multimodal single-cell data
  782. Fuzzy detection system for rumors through explainable adaptive learning
  783. A review on turbulent and vortical flow analyses via complex networks
  784. AB-net: A novel deep learning assisted framework for renewable energy generation forecasting
  785.  RAS-protein activation but not mutation status is an outcome predictor and unifying therapeutic target for high-risk acute lymphoblastic leukemia
  786.  Define and visualize pathological architectures of human tissues from spatially resolved transcriptomics using deep learning
  787. Protocol-independent data acquisition for precision farming
  788. Understanding over-squashing and bottlenecks on graphs via curvature
  789.  Applications of neutrosophic logic in image processing: A survey
  790. A cluster-based hierarchical-approach for the path planning of swarm
  791. Regional seismic responses of shallow basins incorporating site-city interaction analyses on high-rise building clusters
  792.  Study of mathematical model of Hepatitis B under Caputo-Fabrizo derivative
  793.  Graph theory methods: applications in brain networks
  794.  Progress on open chemoinformatic tools for expanding and exploring the chemical space
  795. Tensor clustering with planted structures: Statistical optimality and computational limits
  796. Data stream analysis: Foundations, major tasks and tools
  797.  CPIDM: a clustering-based profound iterating deep learning model for HSI segmentation
  798.  Fish disease detection using image based machine learning technique in aquaculture
  799.  An efficient hybrid computational technique for the time dependent Lane-Emden equation of arbitrary order
  800. Enhanced Forman curvature and its relation to Ollivier curvature
  801. A fractional-order SIRD model with time-dependent memory indexes for encompassing the multi-fractional characteristics of the COVID-19
  802. Collective minds: social network topology shapes collective cognition
  803. Gravitational search algorithm: a comprehensive analysis of recent variants
  804. Strong ties and where to find them: or, why Neville and Bellatrix might be more important than Harry and Tom
  805.  Fundamental clustering algorithms suite
  806. Sampled Gromov Wasserstein
  807.  Distance-weighted graph neural networks on FPGAs for real-time particle reconstruction in high energy physics
  808. A continuum limit for the PageRank algorithm
  809.  Machine learning dismantling and early-warning signals of disintegration in complex systems
  810. On a rank-unimodality conjecture of Morier-Genoud and Ovsienko
  811. The effects of 10 Hz and 20 Hz tACS in network integration and segregation in chronic stroke: a graph theoretical fMRI study
  812.  Apriori association rule and K-means clustering algorithms for interpretation of pre-event landslide areas and landslide inventory mapping
  813. Dynamic functional connectivity in temporal lobe epilepsy: a graph theoretical and machine learning approach
  814. Smart flood resilience: harnessing community-scale big data for predictive flood risk monitoring, rapid impact assessment, and situational awareness
  815. Cyber situation perception for Internet of Things systems based on zero-day attack activities recognition within advanced persistent threat
  816. Recommendation engines-neural embedding to graph-based: Techniques and evaluations
  817. An analysis of a KNN perturbation operator: an application to the binarization of continuous metaheuristics
  818. Regional competitiveness research based on digital models using Kolmogorov-Chapman equations
  819. Contribution of graph theory applied to EEG data analysis for Alzheimer’s disease versus vascular dementia diagnosis
  820. Sharpness of the phase transition for parking on random trees
  821. Interactive feedback for learning mathematics in a digital learning environment
  822. Drug repurposing using biological networks
  823.  A bi-level formulation for label noise learning with spectral cluster discovery
  824. Quantum Physics Education Research over the Last Two Decades: A Bibliometric Analysis
  825. A survey of density based clustering algorithms
  826.  Topological data analysis model for the spread of the coronavirus
  827. EMI-GCN: a hybrid model for real-time monitoring of multiple bolt looseness using electromechanical impedance and graph convolutional networks
  828. The specious art of single-cell genomics
  829. Ant-TD: Ant colony optimization plus temporal difference reinforcement learning for multi-label feature selection
  830. Universal manufacturing: Enablers, properties, and models
  831.  Semantic-based opinion summarization
  832. Formal mathematics statement curriculum learning
  833. SSC: A hybrid nature-inspired meta-heuristic optimization algorithm for engineering applications
  834. Sdg: A simplified and dynamic graph neural network
  835.  The landscape of cell–cell communication through single-cell transcriptomics
  836. Nonlinear opinion dynamics with tunable sensitivity
  837. Subspace estimation from unbalanced and incomplete data matrices: ℓ2,∞ statistical guarantees
  838. A multistage damage detection approach using graph theory and water strider algorithm
  839. Clustering by periodontitis-associated factors: A novel application to NHANES data
  840.  A gentle introduction to graph neural networks
  841. Computer vision and unsupervised machine learning for pore-scale structural analysis of fractured porous media
  842. A study on the failure behavior of sand grain contacts with Hertz modeling, image processing, and statistical analysis
  843.  Spatially resolved cell atlas of the mouse primary motor cortex by MERFISH
  844.  Patterns of synchrony in complex networks of adaptively coupled oscillators
  845. A novel knowledge graph-based optimization approach for resource allocation in discrete manufacturing workshops
  846.  Defining super-enhancer landscape in triple-negative breast cancer by multiomic profiling
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