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

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Showing 76–100 of 919 papers

TitleStatusHype
A likelihood-ratio type test for stochastic block models with bounded degrees—0
Algorithms for item categorization based on ordinal ranking data—0
A cost-based multi-layer network approach for the discovery of patient phenotypes—0
Bayesian estimation from few samples: community detection and related problems—0
Algorithmic infeasibility of community detection in higher-order networks—0
A high-reproducibility and high-accuracy method for automated topic classification—0
A Constraints Fusion-induced Symmetric Nonnegative Matrix Factorization Approach for Community Detection—0
A web-based tool to Analyze Semantic Similarity Networks—0
A Bi-clustering Framework for Consensus Problems—0
Axioms for graph clustering quality functions—0
Top-K Influential Nodes in Social Networks: A Game Perspective—0
Benchmarking Evolutionary Community Detection Algorithms in Dynamic Networks—0
Bias-Corrected Joint Spectral Embedding for Multilayer Networks with Invariant Subspace: Entrywise Eigenvector Perturbation and Inference—0
A Semi-Supervised Deep Clustering Pipeline for Mining Intentions From Texts—0
A Graph-Based Analysis of Medical Queries of a Swedish Health Care Portal—0
A semidefinite program for unbalanced multisection in the stochastic block model—0
A Semidefinite Program for Structured Blockmodels—0
A Comprehensive Survey on Community Detection with Deep Learning—0
A Spectral Framework for Anomalous Subgraph Detection—0
A graph representation based on fluid diffusion model for data analysis: theoretical aspects and enhanced community detection—0
A spectral method for community detection in moderately-sparse degree-corrected stochastic block models—0
A Compressive Sensing Approach to Community Detection with Applications—0
A Multi-Strategy Approach to Overcoming Bias in Community Detection Evaluation—0
A stochastic block model for community detection in attributed networks—0
A Unified Framework for Tuning Hyperparameters in Clustering Problems—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