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

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Showing 451–475 of 919 papers

TitleStatusHype
Data clustering with edge domination in complex networks—0
Data-driven Clustering in Ad-hoc Networks based on Community Detection—0
Data-driven Influence Based Clustering of Dynamical Systems—0
DCC: A Cascade based Approach to Detect Communities in Social Networks—0
Deep Amortized Relational Model with Group-Wise Hierarchical Generative Process—0
Deep Clustering via Community Detection—0
Deep Graph Clustering via Mutual Information Maximization and Mixture Model—0
Descriptive vs. inferential community detection in networks: pitfalls, myths, and half-truths—0
Community Structure Recovery and Interaction Probability Estimation for Gossip Opinion Dynamics—0
Detecting Communities in Complex Networks using an Adaptive Genetic Algorithm and node similarity-based encoding—0
Detecting Communities in Heterogeneous Multi-Relational Networks:A Message Passing based Approach—0
Detecting Community Structures in Hi-C Genomic Data—0
Detecting Dynamic Community Structure in Functional Brain Networks Across Individuals: A Multilayer Approach—0
Detecting Local Community Structures in Social Networks Using Concept Interestingness—0
Detecting local processing unit in drosophila brain by using network theory—0
Detecting Overlapping Communities in Networks Using Spectral Methods—0
Detecting User Community in Sparse Domain via Cross-Graph Pairwise Learning—0
Detection of Community Structures in Networks with Nodal Features based on Generative Probabilistic Approach—0
Determining Code Words in Euphemistic Hate Speech Using Word Embedding Networks—0
Differentially Private Community Detection for Stochastic Block Models—0
Differentially private exact recovery for stochastic block models—0
Direct Comparative Analysis of Nature-inspired Optimization Algorithms on Community Detection Problem in Social Networks—0
Discriminative community detection for multiplex networks—0
Disentangling group and link persistence in Dynamic Stochastic Block models—0
Disentangling homophily, community structure and triadic closure in networks—0
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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