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 301–325 of 919 papers

TitleStatusHype
Deep Clustering via Community Detection—0
Down the Rabbit Hole: Detecting Online Extremism, Radicalisation, and Politicised Hate Speech—0
Dual regularized Laplacian spectral clustering methods on community detection—0
Dynamic change-point detection using similarity networks—0
Dynamic Community Detection into Analyzing of Wildfires Events—0
Dynamic Community Detection via Adversarial Temporal Graph Representation Learning—0
Dynamic Network Sampling for Community Detection—0
Dynamic Range in the C.elegans Brain Network—0
Early Detection of Research Trends—0
Early Identification of Pathogenic Social Media Accounts—0
An Empirical Comparison of the Summarization Power of Graph Clustering Methods—0
Edge Label Inference in Generalized Stochastic Block Models: from Spectral Theory to Impossibility Results—0
Combining Random Walks and Nonparametric Bayesian Topic Model for Community Detection—0
Effective Resistance-based Germination of Seed Sets for Community Detection—0
ComHapDet: A Spatial Community Detection Algorithm for Haplotype Assembly—0
Efficiently Detecting Overlapping Communities through Seeding and Semi-Supervised Learning—0
Exact Representation of Sparse Networks with Symmetric Nonnegative Embeddings—0
Efficient Minimax Signal Detection on Graphs—0
Estimating Mixed Memberships with Sharp Eigenvector Deviations—0
Consistency of regularized spectral clustering in degree-corrected mixed membership model—0
A Flexible Fitness Function for Community Detection in Complex Networks—0
Exploring Sentence Community for Document-Level Event Extraction—0
A Nonconvex Splitting Method for Symmetric Nonnegative Matrix Factorization: Convergence Analysis and Optimality—0
Enhancing Community Detection in Networks: A Comparative Analysis of Local Metrics and Hierarchical Algorithms—0
An _p theory of PCA and spectral clustering—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