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 801–825 of 919 papers

TitleStatusHype
Community Detection from Multiple Observations: from Product Graph Model to Brain Applications—0
Community Detection Graph Convolutional Network for Overlap-Aware Speaker Diarization—0
Community detection in censored hypergraph—0
Community detection in complex networks via node similarity, graph representation learning, and hierarchical clustering—0
Community Detection in Cryptocurrencies with Potential Applications to Portfolio Diversification—0
Community Detection in Degree-Corrected Block Models—0
Community Detection in General Hypergraph via Graph Embedding—0
Community Detection in High-Dimensional Graph Ensembles—0
Community Detection in Medical Image Datasets: Using Wavelets and Spectral Methods—0
Community Detection in Multi-frequency EEG Networks—0
Community detection in multiplex networks using locally adaptive random walks—0
Community detection in multiplex networks based on orthogonal nonnegative matrix tri-factorization—0
Community detection in multi-relational data with restricted multi-layer stochastic blockmodel—0
Community detection in network neuroscience—0
Community detection in networks: Structural communities versus ground truth—0
Community Detection in Networks using Graph Distance—0
Community detection in networks using graph embeddings—0
Community detection in networks via nonlinear modularity eigenvectors—0
Community Detection in Networks with Node Features—0
Community detection in node-attributed social networks: a survey—0
Community Detection in Partially Observable Social Networks—0
Community Detection in Political Twitter Networks using Nonnegative Matrix Factorization Methods—0
Community detection in sparse latent space models—0
Community Detection in Sparse Random Networks—0
Community Detection in the Hypergraph SBM: Exact Recovery Given the Similarity Matrix—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