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 826–850 of 919 papers

TitleStatusHype
Community Detection in the Multi-View Stochastic Block Model—0
Community detection in the sparse hypergraph stochastic block model—0
Community detection in weighted brain connectivity networks beyond the resolution limit—0
Community Detection on Evolving Graphs—0
Community Detection on Mixture Multi-layer Networks via Regularized Tensor Decomposition—0
Community detection using low-dimensional network embedding algorithms—0
Community Detection Using Revised Medoid-Shift Based on KNN—0
Community-Detection via Hashtag-Graphs for Semi-Supervised NMF Topic Models—0
Community Detection via Measure Space Embedding—0
Community Detection with a Subsampled Semidefinite Program—0
Community Detection with Heterogeneous Block Covariance Model—0
Community Detection with Known, Unknown, or Partially Known Auxiliary Latent Variables—0
Community Detection with Node Attributes and its Generalization—0
Community detection with the Bethe-Hessian—0
Evading Community Detection via Counterfactual Neighborhood Search—0
Community models for networks observed through edge nominations—0
Community Recovery in the Geometric Block Model—0
Community structure: A comparative evaluation of community detection methods—0
Comparative Analysis of Community Detection Algorithms on the SNAP Social Circles Dataset—0
Complex networks based word embeddings—0
Computational Lower Bounds for Community Detection on Random Graphs—0
Computational Lower Bounds for Graphon Estimation via Low-degree Polynomials—0
Connected Subgraph Detection with Mirror Descent on SDPs—0
Connectivity in Random Annulus Graphs and the Geometric Block Model—0
Consistency of Lloyd's Algorithm Under Perturbations—0
Show:102550
← PrevPage 34 of 37Next →
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