SOTAVerified

Community Detection

Community Detection is one of the fundamental problems in network analysis, where the goal is to find groups of nodes that are, in some sense, more similar to each other than to the other nodes.

Source: Randomized Spectral Clustering in Large-Scale Stochastic Block Models

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 401–450 of 919 papers

TitleStatusHype
GRADE: Graph Dynamic Embedding—0
Fair Information Spread on Social Networks with Community Structure—0
Community Detection for Contextual-LSBM: Theoretical Limitations of Misclassification Rate and Efficient Algorithms—0
Graph-based data clustering via multiscale community detection—0
A Generative Model for Dynamic Networks with Applications—0
Graph-Based Optimisation of Network Expansion in a Dockless Bike Sharing System—0
Extraction of hierarchical functional connectivity components in human brain using resting-state fMRI—0
Extracting information from free text through unsupervised graph-based clustering: an application to patient incident records—0
Community Detection: Exact Recovery in Weighted Graphs—0
Graph-Community Detection for Cross-Document Topic Segment Relationship Identification—0
Exposing Fake Images with Forensic Similarity Graphs—0
Community detection by spectral methods in multi-layer networks—0
Graphfool: Targeted Label Adversarial Attack on Graph Embedding—0
Graph Generators: State of the Art and Open Challenges—0
A Random Matrix Perspective on Random Tensors—0
Exploring Sentence Community for Document-Level Event Extraction—0
A Unified Framework for Exploratory Learning-Aided Community Detection Under Topological Uncertainty—0
Exploration of Large Networks with Covariates via Fast and Universal Latent Space Model Fitting—0
Community Detection by Principal Components Clustering Methods—0
Graph Neural Networks for Multiparallel Word Alignment—0
Exploiting Tradeoffs for Exact Recovery in Heterogeneous Stochastic Block Models—0
Graph Ordering: Towards the Optimal by Learning—0
Explicitly Linking Regional Activation and Function Connectivity: Community Structure of Weighted Networks with Continuous Annotation—0
Graph Vertex Embeddings: Distance, Regularization and Community Detection—0
GRE^2-MDCL: Graph Representation Embedding Enhanced via Multidimensional Contrastive Learning—0
GroupEnc: encoder with group loss for global structure preservation—0
GSim: A Graph Neural Network based Relevance Measure for Heterogeneous Graphs—0
Community Detection by ELPMeans: An Unsupervised Approach That Uses Laplacian Centrality and Clustering—0
A Quorum Sensing Inspired Algorithm for Dynamic Clustering—0
A General Framework for Complex Network-Based Image Segmentation—0
Heuristic Modularity Maximization Algorithms for Community Detection Rarely Return an Optimal Partition or Anything Similar—0
A Comprehensive Review of Community Detection in Graphs—0
Inferring Communities of Interest in Collaborative Learning-based Recommender Systems—0
EXIT Analysis for Community Detection—0
Exact Recovery of Community Detection in k-Community Gaussian Mixture Model—0
Hierarchical Clustering Supported by Reciprocal Nearest Neighbors—0
Hierarchical community detection by recursive partitioning—0
Community Detection and Stochastic Block Models—0
A pseudo-likelihood approach to community detection in weighted networks—0
Exact Recovery of Community Detection in dependent Gaussian Mixture Models—0
Optimal and exact recovery on general non-uniform Hypergraph Stochastic Block Model—0
Community detection and Social Network analysis based on the Italian wars of the 15th century—0
Exact Matching in Correlated Networks with Node Attributes for Improved Community Recovery—0
Evolutionary Multi Objective Optimization Algorithm for Community Detection in Complex Social Networks—0
Community detection and portfolio optimization—0
Higher-Order Spectral Clustering under Superimposed Stochastic Block Model—0
High-order Order Proximity-Incorporated, Symmetry and Graph-Regularized Nonnegative Matrix Factorization for Community Detection—0
High Quality, Scalable and Parallel Community Detectionfor Large Real Graphs—0
Applying Machine Learning Techniques for Caching in Edge Networks: A Comprehensive Survey—0
A Fuzzy Community-Based Recommender System Using PageRank—0
Show:102550
← PrevPage 9 of 19Next →
All datasetsAmazonCoraCiteseerDBLPFacebook ArtistsFacebook AthletesFacebook CelebritiesFacebook CompaniesFacebook GovernmentFacebook MediaFacebook PoliticiansFacebook TV Show

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GNNAccuracy-NE2—Unverified
2CommunityGANF1-score0.09—Unverified
3Ego-SplittingF1-score0.04—Unverified
#ModelMetricClaimedVerifiedStatus
1EdMotNMI0.42—Unverified
2CDNMFNMI0.4—Unverified
#ModelMetricClaimedVerifiedStatus
1CDNMFACC0.48—Unverified
#ModelMetricClaimedVerifiedStatus
1CommunityGANF1-Score0.15—Unverified
#ModelMetricClaimedVerifiedStatus
1Smooth GEMSEC 2Modularity0.56—Unverified
#ModelMetricClaimedVerifiedStatus
1Smooth GEMSEC 2Modularity0.69—Unverified
#ModelMetricClaimedVerifiedStatus
1Smooth GEMSEC 2Modularity0.65—Unverified
#ModelMetricClaimedVerifiedStatus
1Smooth GEMSEC 2Modularity0.68—Unverified
#ModelMetricClaimedVerifiedStatus
1Smooth GEMSEC 2Modularity0.71—Unverified
#ModelMetricClaimedVerifiedStatus
1Smooth GEMSEC 2Modularity0.57—Unverified
#ModelMetricClaimedVerifiedStatus
1Smooth GEMSEC 2Modularity0.86—Unverified
#ModelMetricClaimedVerifiedStatus
1Smooth GEMSEC 2Modularity0.85—Unverified
#ModelMetricClaimedVerifiedStatus
1CDNMFACC0.67—Unverified