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 101–125 of 919 papers

TitleStatusHype
A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning—0
Causal Inference for Early Detection of Pathogenic Social Media Accounts—0
A Survey on Signed Graph Embedding: Methods and Applications—0
A Survey on Theoretical Advances of Community Detection in Networks—0
A Tensor Approach to Learning Mixed Membership Community Models—0
A testing based extraction algorithm for identifying significant communities in networks—0
A Thorough View of Exact Inference in Graphs from the Degree-4 Sum-of-Squares Hierarchy—0
A Generative Model for Dynamic Networks with Applications—0
Active Community Detection with Maximal Expected Model Change—0
A Boosting Approach to Learning Graph Representations—0
A Unified Framework for Tuning Hyperparameters in Clustering Problems—0
A useful criterion on studying consistent estimation in community detection—0
Automatic Segmentation of Fluorescence Lifetime Microscopy Images of Cells Using Multi-Resolution Community Detection—0
A Web-based Interactive Visual Graph Analytics Platform—0
A web-based tool to Analyze Semantic Similarity Networks—0
Axioms for graph clustering quality functions—0
Top-K Influential Nodes in Social Networks: A Game Perspective—0
An adaptive hybrid algorithm for social networks to choose groups with independent members—0
Bayesian estimation from few samples: community detection and related problems—0
Analysis of Persian News Agencies on Instagram, A Words Co-occurrence Graph-based Approach—0
Benchmarking Evolutionary Community Detection Algorithms in Dynamic Networks—0
Beyond the network of plants volatile organic compounds—0
Bias-Corrected Joint Spectral Embedding for Multilayer Networks with Invariant Subspace: Entrywise Eigenvector Perturbation and Inference—0
Analysis of spectral clustering algorithms for community detection: the general bipartite setting—0
A Comprehensive Review of Community Detection in Graphs—0
Show:102550
← PrevPage 5 of 37Next →
All datasetsAmazonCoraCiteseerDBLPFacebook ArtistsFacebook AthletesFacebook CelebritiesFacebook CompaniesFacebook GovernmentFacebook MediaFacebook PoliticiansFacebook TV Show

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