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 776–800 of 919 papers

TitleStatusHype
Block-Structure Based Time-Series Models For Graph SequencesCode0
Community detection in networks without observing edgesCode0
Single Image Reflection Removal through Cascaded RefinementCode0
Clustering in graphs and hypergraphs with categorical edge labelsCode0
BiasedWalk: Biased Sampling for Representation Learning on GraphsCode0
Bayesian estimation of the latent dimension and communities in stochastic blockmodelsCode0
Detecting community structure using label propagation with weighted coherent neighborhood propinquityCode0
Structure and inference in hypergraphs with node attributesCode0
Parameterized Correlation Clustering in Hypergraphs and Bipartite GraphsCode0
Identifying Hubs Through Influential Nodes in Transportation Network by Using a Gravity Centrality ApproachCode0
Artificial Benchmark for Community Detection with Outliers (ABCD+o)Code0
Detecting Propagators of Disinformation on Twitter Using Quantitative Discursive AnalysisCode0
Multi-view Banded Spectral Clustering with Application to ICD9 ClusteringCode0
Unsupervised segmentation of irradiationx2010induced orderx2010disorder phase transitions in electron microscopyCode0
Vec2GC -- A Graph Based Clustering Method for Text RepresentationsCode0
Agglomerative Likelihood ClusteringCode0
The Hyperspherical Geometry of Community Detection: Modularity as a DistanceCode0
Improving Coarsening Schemes for Hypergraph Partitioning by Exploiting Community StructureCode0
PercoMCV: A hybrid approach of community detection in social networksCode0
Perfect Spectral Clustering with Discrete CovariatesCode0
Sparse random hypergraphs: Non-backtracking spectra and community detectionCode0
Robust Markov stability for community detection at a scale learned based on the structureCode0
Bayesian community detection for networks with covariatesCode0
Robustness modularity in complex networksCode0
Sparsity-aware Robust Community Detection(SPARCODE)Code0
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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