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
How Robust are Reconstruction Thresholds for Community Detection?0
Submatrix localization via message passing0
Optimal Cluster Recovery in the Labeled Stochastic Block Model0
Learning multi-faceted representations of individuals from heterogeneous evidence using neural networks0
Recovering a Hidden Community Beyond the Kesten-Stigum Threshold in O(|E| ^*|V|) Time0
Detecting Community Structures in Hi-C Genomic Data0
Integration of graph clustering with ant colony optimization for feature selection0
Community Detection in Networks with Node Features0
Time Series Clustering via Community Detection in NetworksCode0
Local Algorithms for Block Models with Side Information0
A semidefinite program for unbalanced multisection in the stochastic block model0
Structure and inference in annotated networks0
Community detection in multiplex networks using locally adaptive random walks0
Estimating the number of communities in networks by spectral methods0
A spectral method for community detection in moderately-sparse degree-corrected stochastic block models0
Joint community and anomaly tracking in dynamic networks0
Community detection in multi-relational data with restricted multi-layer stochastic blockmodel0
Clustering via Content-Augmented Stochastic Blockmodels0
Achieving Optimal Misclassification Proportion in Stochastic Block Model0
Network Filtering for Big Data: Triangulated Maximally Filtered Graph0
Overlapping Community Detection by Online Cluster Aggregation0
Overlapping Communities Detection via Measure Space Embedding0
Phase Transitions in Spectral Community Detection of Large Noisy Networks0
Learning Mixed Membership Community Models in Social Tagging Networks through Tensor Methods0
Community Detection and Classification in Hierarchical Stochastic Blockmodels0
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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