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 76–100 of 919 papers

TitleStatusHype
Mapping Hymns and Organizing Concepts in the Rigveda: Quantitatively Connecting the Vedic Suktas—0
Communities in the Kuramoto Model: Dynamics and Detection via Path SignaturesCode0
Unifying Structural Proximity and Equivalence for Enhanced Dynamic Network Embedding—0
Revisiting FastMap: New Applications—0
How Low Can You Go? Searching for the Intrinsic Dimensionality of Complex Networks using Metric Node EmbeddingsCode0
Community Detection by ELPMeans: An Unsupervised Approach That Uses Laplacian Centrality and Clustering—0
The Robustness of Structural Features in Species Interaction Networks—0
Fitting networks with a cancellation trick—0
Human-Centric Community Detection in Hybrid Metaverse Networks with Integrated AI Entities—0
Unified Graph Networks (UGN): A Deep Neural Framework for Solving Graph Problems—0
Comparative Analysis of Community Detection Algorithms on the SNAP Social Circles Dataset—0
Induced Modularity and Community Detection for Functionally Interpretable Reinforcement Learning—0
Principal Graph Encoder Embedding and Principal Community Detection—0
Improving Fine-Tuning with Latent Cluster Correction—0
Community Detection for Contextual-LSBM: Theoretical Limitations of Misclassification Rate and Efficient Algorithms—0
Village-Net Clustering: A Rapid approach to Non-linear Unsupervised Clustering of High-Dimensional Data—0
Intelligent Anti-Money Laundering Solution Based upon Novel Community Detection in Massive Transaction Networks on Spark—0
Exact Matching in Correlated Networks with Node Attributes for Improved Community Recovery—0
Deep Clustering via Community Detection—0
KAN KAN Buff Signed Graph Neural Networks?—0
Matrix Concentration for Random Signed Graphs and Community Recovery in the Signed Stochastic Block Model—0
Large Language Models Meet Graph Neural Networks: A Perspective of Graph Mining—0
Hypergraph clustering using Ricci curvature: an edge transport perspective—0
Representation learning of dynamic networks—0
Two-way Node Popularity Model for Directed and Bipartite NetworksCode0
Show:102550
← PrevPage 4 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