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 201–225 of 919 papers

TitleStatusHype
Community detection in networks using graph embeddings—0
Community detection in networks via nonlinear modularity eigenvectors—0
Clustering of Complex Networks and Community Detection Using Group Search Optimization—0
Community Detection in Networks with Node Features—0
Community Detection Clustering via Gumbel Softmax—0
Community Detection in Partially Observable Social Networks—0
A new method for quantifying network cyclic structure to improve community detection—0
Community detection in sparse latent space models—0
Community Detection in Sparse Random Networks—0
A Survey on Theoretical Advances of Community Detection in Networks—0
Community Detection in the Hypergraph SBM: Exact Recovery Given the Similarity Matrix—0
Community Detection in the Multi-View Stochastic Block Model—0
Community detection in the sparse hypergraph stochastic block model—0
A testing based extraction algorithm for identifying significant communities in networks—0
Achieving the KS threshold in the general stochastic block model with linearized acyclic belief propagation—0
A Thorough View of Exact Inference in Graphs from the Degree-4 Sum-of-Squares Hierarchy—0
Computational Lower Bounds for Community Detection on Random Graphs—0
Community Detection on Mixture Multi-layer Networks via Regularized Tensor Decomposition—0
Active Community Detection with Maximal Expected Model Change—0
Clustering evolving data using kernel-based methods—0
A Boosting Approach to Learning Graph Representations—0
Clustering and Community Detection with Imbalanced Clusters—0
Community detection using low-dimensional network embedding algorithms—0
Community Detection Using Revised Medoid-Shift Based on KNN—0
A new measure of modularity density for 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