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 126150 of 919 papers

TitleStatusHype
Effective Hierarchical Information Threading Using Network Community DetectionCode0
Ego-splitting Framework: from Non-Overlapping to Overlapping ClustersCode0
Descriptive vs. inferential community detection in networks: pitfalls, myths, and half-truthsCode0
Deep Network Embedding for Graph Representation Learning in Signed NetworksCode0
Deep Autoencoder-like Nonnegative Matrix Factorization for Community DetectionCode0
Fast Maximum k-Plex Algorithms Parameterized by Small Degeneracy GapsCode0
Detecting community structure using label propagation with weighted coherent neighborhood propinquityCode0
Constraint-Induced Symmetric Nonnegative Matrix Factorization for Accurate Community DetectionCode0
Coupled Graphs and Tensor Factorization for Recommender Systems and Community DetectionCode0
A Neural Collapse Perspective on Feature Evolution in Graph Neural NetworksCode0
Advancing Community Detection with Graph Convolutional Neural Networks: Bridging Topological and Attributive CohesionCode0
Constrained fractional set programs and their application in local clustering and community detectionCode0
Covariate Regularized Community Detection in Sparse GraphsCode0
Detecting Propagators of Disinformation on Twitter Using Quantitative Discursive AnalysisCode0
Characterizing and comparing external measures for the assessment of cluster analysis and community detectionCode0
A Distributed Hybrid Community Detection Methodology for Social NetworksCode0
Community detection with spiking neural networks for neuromorphic hardwareCode0
CGC: Contrastive Graph Clustering for Community Detection and TrackingCode0
Choose A Table: Tensor Dirichlet Process Multinomial Mixture Model with Graphs for Passenger Trajectory ClusteringCode0
Classic Graph Structural Features Outperform Factorization-Based Graph Embedding Methods on Community LabelingCode0
Clique percolation method: memory efficient almost exact communitiesCode0
Community Detection with Graph Neural NetworksCode0
Clubmark: a Parallel Isolation Framework for Benchmarking and Profiling Clustering Algorithms on NUMA ArchitecturesCode0
CommunityGAN: Community Detection with Generative Adversarial NetsCode0
CayleyNets: Graph Convolutional Neural Networks with Complex Rational Spectral FiltersCode0
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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