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 426–450 of 919 papers

TitleStatusHype
GroupEnc: encoder with group loss for global structure preservation—0
GSim: A Graph Neural Network based Relevance Measure for Heterogeneous Graphs—0
Community detection in the sparse hypergraph stochastic block model—0
A testing based extraction algorithm for identifying significant communities in networks—0
Herding Unmasked: Insights into Cryptocurrencies, Stocks and US ETFs—0
Heuristic Modularity Maximization Algorithms for Community Detection Rarely Return an Optimal Partition or Anything Similar—0
Community detection in weighted brain connectivity networks beyond the resolution limit—0
A Thorough View of Exact Inference in Graphs from the Degree-4 Sum-of-Squares Hierarchy—0
Data clustering with edge domination in complex networks—0
Bounded Projection Matrix Approximation with Applications to Community Detection—0
Hierarchical Clustering Supported by Reciprocal Nearest Neighbors—0
Hierarchical community detection by recursive partitioning—0
Community Detection on Mixture Multi-layer Networks via Regularized Tensor Decomposition—0
MDL-Pool: Adaptive Multilevel Graph Pooling Based on Minimum Description Length—0
Hierarchical-Graph-Structured Edge Partition Models for Learning Evolving Community Structure—0
Curvature-based Clustering on Graphs—0
An efficient approach for nonconvex semidefinite optimization via customized alternating direction method of multipliers—0
Hierarchical organization of functional connectivity in the mouse brain: a complex network approach—0
A Boosting Approach to Learning Graph Representations—0
How Many Communities Are There?—0
Higher-Order Spectral Clustering under Superimposed Stochastic Block Model—0
High-order Order Proximity-Incorporated, Symmetry and Graph-Regularized Nonnegative Matrix Factorization for Community Detection—0
High Quality, Scalable and Parallel Community Detectionfor Large Real Graphs—0
Community Detection Using Revised Medoid-Shift Based on KNN—0
Human-Centric Community Detection in Hybrid Metaverse Networks with Integrated AI Entities—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