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 326–350 of 919 papers

TitleStatusHype
Community Detection in Partially Observable Social Networks—0
Community detection in node-attributed social networks: a survey—0
Community Detection in Networks with Node Features—0
A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning—0
Algorithmic infeasibility of community detection in higher-order networks—0
Community detection in networks via nonlinear modularity eigenvectors—0
Community detection in networks using graph embeddings—0
Community Detection in Networks using Graph Distance—0
Community detection in networks: Structural communities versus ground truth—0
A stochastic block model for community detection in attributed networks—0
A high-reproducibility and high-accuracy method for automated topic classification—0
A Constraints Fusion-induced Symmetric Nonnegative Matrix Factorization Approach for Community Detection—0
Community detection in network neuroscience—0
Community detection in multi-relational data with restricted multi-layer stochastic blockmodel—0
Community detection in multiplex networks based on orthogonal nonnegative matrix tri-factorization—0
Community detection in multiplex networks using locally adaptive random walks—0
Community Detection in Multi-frequency EEG Networks—0
Community Detection in Medical Image Datasets: Using Wavelets and Spectral Methods—0
Community Detection in High-Dimensional Graph Ensembles—0
A spectral method for community detection in moderately-sparse degree-corrected stochastic block models—0
A graph representation based on fluid diffusion model for data analysis: theoretical aspects and enhanced community detection—0
A Compressive Sensing Approach to Community Detection with Applications—0
A Bi-clustering Framework for Consensus Problems—0
A Multi-Strategy Approach to Overcoming Bias in Community Detection Evaluation—0
Community Detection in General Hypergraph via Graph Embedding—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