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

Showing 826850 of 919 papers

TitleStatusHype
Investigating Annotator Bias with a Graph-Based ApproachCode0
Spectral clustering on spherical coordinates under the degree-corrected stochastic blockmodelCode0
Ensemble Clustering for Graphs: Comparisons and ApplicationsCode0
Superpixels algorithms through network community detectionCode0
Is Performance of Scholars Correlated to Their Research Collaboration Patterns?Code0
Supervised Community Detection with Line Graph Neural NetworksCode0
Joint Community Detection and Rotational Synchronization via Semidefinite ProgrammingCode0
Surfacing contextual hate speech words within social mediaCode0
Node Embedding with Adaptive Similarities for Scalable Learning over GraphsCode0
Estimation of Low-Rank Matrices via Approximate Message PassingCode0
Attributed Graph Clustering via Adaptive Graph ConvolutionCode0
Spectral goodness-of-fit tests for complete and partial network dataCode0
Fast Maximum k-Plex Algorithms Parameterized by Small Degeneracy GapsCode0
Community detection in graphsCode0
Evaluating Overfit and Underfit in Models of Network Community StructureCode0
Properties and Performance of the ABCDe Random Graph Model with Community StructureCode0
Non-Convex Exact Community Recovery in Stochastic Block ModelCode0
The Map Equation Goes Neural: Mapping Network Flows with Graph Neural NetworksCode0
Advancing Community Detection with Graph Convolutional Neural Networks: Bridging Topological and Attributive CohesionCode0
Normalized mutual information is a biased measure for classification and community detectionCode0
A Distributed Hybrid Community Detection Methodology for Social NetworksCode0
Semantic flow in language networksCode0
A Survey on Machine Learning Solutions for Graph Pattern ExtractionCode0
On clustering network-valued dataCode0
Community and hyperedge inference in multiple hypergraphsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GNNAccuracy-NE2Unverified
2CommunityGANF1-score0.09Unverified
3Ego-SplittingF1-score0.04Unverified
#ModelMetricClaimedVerifiedStatus
1EdMotNMI0.42Unverified
2CDNMFNMI0.4Unverified
#ModelMetricClaimedVerifiedStatus
1CDNMFACC0.48Unverified
#ModelMetricClaimedVerifiedStatus
1CommunityGANF1-Score0.15Unverified
#ModelMetricClaimedVerifiedStatus
1Smooth GEMSEC 2Modularity0.56Unverified
#ModelMetricClaimedVerifiedStatus
1Smooth GEMSEC 2Modularity0.69Unverified
#ModelMetricClaimedVerifiedStatus
1Smooth GEMSEC 2Modularity0.65Unverified
#ModelMetricClaimedVerifiedStatus
1Smooth GEMSEC 2Modularity0.68Unverified
#ModelMetricClaimedVerifiedStatus
1Smooth GEMSEC 2Modularity0.71Unverified
#ModelMetricClaimedVerifiedStatus
1Smooth GEMSEC 2Modularity0.57Unverified
#ModelMetricClaimedVerifiedStatus
1Smooth GEMSEC 2Modularity0.86Unverified
#ModelMetricClaimedVerifiedStatus
1Smooth GEMSEC 2Modularity0.85Unverified
#ModelMetricClaimedVerifiedStatus
1CDNMFACC0.67Unverified