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 701–725 of 919 papers

TitleStatusHype
A graph representation based on fluid diffusion model for data analysis: theoretical aspects and enhanced community detection—0
A high-reproducibility and high-accuracy method for automated topic classification—0
Algorithmic infeasibility of community detection in higher-order networks—0
Algorithms for item categorization based on ordinal ranking data—0
A likelihood-ratio type test for stochastic block models with bounded degrees—0
Almost Exact Recovery in Gossip Opinion Dynamics over Stochastic Block Models—0
A Local Perspective-based Model for Overlapping Community Detection—0
A Map Equation with Metadata: Varying the Role of Attributes in Community Detection—0
A multilevel clustering technique for community detection—0
An adaptive hybrid algorithm for social networks to choose groups with independent members—0
Analysis of Persian News Agencies on Instagram, A Words Co-occurrence Graph-based Approach—0
Analysis of spectral clustering algorithms for community detection: the general bipartite setting—0
Analyzing Modularity Maximization in Approximation, Heuristic, and Graph Neural Network Algorithms for Community Detection—0
An Effective Index for Truss-based Community Search on Large Directed Graphs—0
An efficient approach for nonconvex semidefinite optimization via customized alternating direction method of multipliers—0
An _p theory of PCA and spectral clustering—0
An Empirical Comparison of the Summarization Power of Graph Clustering Methods—0
An Enhanced Multi-Objective Biogeography-Based Optimization for Overlapping Community Detection in Social Networks with Node Attributes—0
A network community detection method with integration of data from multiple layers and node attributes—0
A Network Perspective on Stratification of Multi-Label Data—0
A new correlation clustering method for cancer mutation analysis—0
A new measure of modularity density for community detection—0
A new method for quantifying network cyclic structure to improve community detection—0
An improved spectral clustering method for community detection under the degree-corrected stochastic blockmodel—0
An Interpretable Graph-based Mapping of Trustworthy Machine Learning Research—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