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

Showing 276300 of 919 papers

TitleStatusHype
An Enhanced Multi-Objective Biogeography-Based Optimization for Overlapping Community Detection in Social Networks with Node Attributes0
Community Detection and Growth Potential Prediction Using the Stochastic Block Model and the Long Short-term Memory from Patent Citation Networks0
Causal Inference for Early Detection of Pathogenic Social Media Accounts0
A Differentiable Approach to Combinatorial Optimization using Dataless Neural Networks0
Detecting Community Structures in Hi-C Genomic Data0
Certified Robustness of Community Detection against Adversarial Structural Perturbation via Randomized Smoothing0
Detecting Dynamic Community Structure in Functional Brain Networks Across Individuals: A Multilayer Approach0
Detecting Local Community Structures in Social Networks Using Concept Interestingness0
Detecting local processing unit in drosophila brain by using network theory0
Detecting Overlapping Communities in Networks Using Spectral Methods0
A network community detection method with integration of data from multiple layers and node attributes0
Deep Graph Clustering via Mutual Information Maximization and Mixture Model0
Detection of Community Structures in Networks with Nodal Features based on Generative Probabilistic Approach0
Determining Code Words in Euphemistic Hate Speech Using Word Embedding Networks0
Differentially Private Community Detection for Stochastic Block Models0
Differentially private exact recovery for stochastic block models0
Direct Comparative Analysis of Nature-inspired Optimization Algorithms on Community Detection Problem in Social Networks0
Discriminative community detection for multiplex networks0
Disentangling group and link persistence in Dynamic Stochastic Block models0
Deep Clustering via Community Detection0
Distributed Representation of Subgraphs0
Distribution-Free Model for Community Detection0
Disunited Nations? A Multiplex Network Approach to Detecting Preference Affinity Blocs using Texts and Votes0
Diversified Top-k Partial MaxSAT Solving0
An Empirical Comparison of the Summarization Power of Graph Clustering Methods0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GNNAccuracy-NE2Unverified
2CommunityGANF1-score0.09Unverified
3Ego-SplittingF1-score0.04Unverified
#ModelMetricClaimedVerifiedStatus
1EdMotNMI0.42Unverified
2CDNMFNMI0.4Unverified
#ModelMetricClaimedVerifiedStatus
1CDNMFACC0.48Unverified
#ModelMetricClaimedVerifiedStatus
1CommunityGANF1-Score0.15Unverified
#ModelMetricClaimedVerifiedStatus
1Smooth GEMSEC 2Modularity0.56Unverified
#ModelMetricClaimedVerifiedStatus
1Smooth GEMSEC 2Modularity0.69Unverified
#ModelMetricClaimedVerifiedStatus
1Smooth GEMSEC 2Modularity0.65Unverified
#ModelMetricClaimedVerifiedStatus
1Smooth GEMSEC 2Modularity0.68Unverified
#ModelMetricClaimedVerifiedStatus
1Smooth GEMSEC 2Modularity0.71Unverified
#ModelMetricClaimedVerifiedStatus
1Smooth GEMSEC 2Modularity0.57Unverified
#ModelMetricClaimedVerifiedStatus
1Smooth GEMSEC 2Modularity0.86Unverified
#ModelMetricClaimedVerifiedStatus
1Smooth GEMSEC 2Modularity0.85Unverified
#ModelMetricClaimedVerifiedStatus
1CDNMFACC0.67Unverified