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 376–400 of 919 papers

TitleStatusHype
Fitting networks with a cancellation trick—0
Data-driven Influence Based Clustering of Dynamical Systems—0
FluidC+: A novel community detection algorithm based on fluid propagation—0
Brain-Network Clustering via Kernel-ARMA Modeling and the Grassmannian—0
Graph-Based Approaches to Clustering Network-Constrained Trajectory Data—0
From Base Data To Knowledge Discovery -- A Life Cycle Approach -- Using Multilayer Networks—0
From Community Detection to Community Profiling—0
Data-driven Clustering in Ad-hoc Networks based on Community Detection—0
From Free Text to Clusters of Content in Health Records: An Unsupervised Graph Partitioning Approach—0
From Text to Topics in Healthcare Records: An Unsupervised Graph Partitioning Methodology—0
From the User to the Medium: Neural Profiling Across Web Communities—0
Data clustering with edge domination in complex networks—0
Fundamental limits of community detection from multi-view data: multi-layer, dynamic and partially labeled block models—0
Graph2topic: an opensource topic modeling framework based on sentence embedding and community detection—0
GCN-based Multi-task Representation Learning for Anomaly Detection in Attributed Networks—0
Gene communities in co-expression networks across different tissues—0
Generalized Category Discovery with Clustering Assignment Consistency—0
Generating Extractive Summaries of Scientific Paradigms—0
Community detection in multi-relational data with restricted multi-layer stochastic blockmodel—0
Community detection in network neuroscience—0
Bounded Projection Matrix Approximation with Applications to Community Detection—0
Geometric Graph Representation Learning via Maximizing Rate Reduction—0
Global and Individualized Community Detection in Inhomogeneous Multilayer Networks—0
Community detection in networks: Structural communities versus ground truth—0
Curvature-based Clustering on Graphs—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