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 276–300 of 919 papers

TitleStatusHype
Analysis of Persian News Agencies on Instagram, A Words Co-occurrence Graph-based Approach—0
Accuracy-Memory Tradeoffs and Phase Transitions in Belief Propagation—0
Community structure: A comparative evaluation of community detection methods—0
Community Recovery in the Geometric Block Model—0
Community models for networks observed through edge nominations—0
Evading Community Detection via Counterfactual Neighborhood Search—0
Top-K Influential Nodes in Social Networks: A Game Perspective—0
An adaptive hybrid algorithm for social networks to choose groups with independent members—0
Community detection with the Bethe-Hessian—0
Axioms for graph clustering quality functions—0
Community Detection with Node Attributes and its Generalization—0
A web-based tool to Analyze Semantic Similarity Networks—0
A multilevel clustering technique for community detection—0
Active learning in the geometric block model—0
Community Detection with Known, Unknown, or Partially Known Auxiliary Latent Variables—0
Community Detection with Heterogeneous Block Covariance Model—0
A Web-based Interactive Visual Graph Analytics Platform—0
Community Detection with a Subsampled Semidefinite Program—0
Automatic Segmentation of Fluorescence Lifetime Microscopy Images of Cells Using Multi-Resolution Community Detection—0
A Map Equation with Metadata: Varying the Role of Attributes in Community Detection—0
Community Detection via Measure Space Embedding—0
Community-Detection via Hashtag-Graphs for Semi-Supervised NMF Topic Models—0
A useful criterion on studying consistent estimation in community detection—0
Community Detection Using Revised Medoid-Shift Based on KNN—0
Community detection using low-dimensional network embedding algorithms—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