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 401–425 of 919 papers

TitleStatusHype
A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning—0
Modularity maximisation for graphonsCode0
Estimation of Number of Communities in Assortative Sparse Networks—0
VECoDeR - Variational Embeddings for Community Detection and Node Representation—0
Semi-Supervised Node Classification on Graphs: Markov Random Fields vs. Graph Neural Networks—0
Estimating Mixed-Memberships Using the Symmetric Laplacian Inverse Matrix—0
Understanding graph embedding methods and their applications—0
Spectral clustering via adaptive layer aggregation for multi-layer networks—0
Mixed-SCORE+ for mixed membership community detection—0
Ising-Based Louvain Method: Clustering Large Graphs with Specialized Hardware—0
Community detection using fast low-cardinality semidefinite programmingCode1
Unsupervised Adversarially-Robust Representation Learning on Graphs—0
Global and Individualized Community Detection in Inhomogeneous Multilayer Networks—0
Unsupervised Constrained Community Detection via Self-Expressive Graph Neural NetworkCode1
Mixed Membership Graph Clustering via Systematic Edge QueryCode0
Consistency of regularized spectral clustering in degree-corrected mixed membership model—0
Statistical and computational thresholds for the planted k-densest sub-hypergraph problem—0
Sparsity-aware Robust Community Detection(SPARCODE)Code0
Contextual Stochastic Block Model: Sharp Thresholds and Contiguity—0
Community detection in network neuroscience—0
An improved spectral clustering method for community detection under the degree-corrected stochastic blockmodel—0
Spectral clustering on spherical coordinates under the degree-corrected stochastic blockmodelCode0
Community Detection by Principal Components Clustering Methods—0
Robustness of Community Detection to Random Geometric Perturbations—0
Dual regularized Laplacian spectral clustering methods on community detection—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