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 5175 of 919 papers

TitleStatusHype
Flow-based Algorithms for Improving Clusters: A Unifying Framework, Software, and PerformanceCode1
VGAER: Graph Neural Network Reconstruction based Community DetectionCode1
Community detection, pattern recognition, and hypergraph-based learning: approaches using metric geometry and persistent homologyCode1
Adversarial Attack on Community Detection by Hiding IndividualsCode1
Self-Supervised Learning of Object Parts for Semantic SegmentationCode1
Contrastive Deep Nonnegative Matrix Factorization for Community DetectionCode1
FaceMap: Towards Unsupervised Face Clustering via Map EquationCode1
Coupled Graphs and Tensor Factorization for Recommender Systems and Community DetectionCode0
Deep Autoencoder-like Nonnegative Matrix Factorization for Community DetectionCode0
Analysis of ResearchGate, A Community Detection ApproachCode0
Adaptive Long-term Embedding with Denoising and Augmentation for RecommendationCode0
Covariate Regularized Community Detection in Sparse GraphsCode0
Constrained fractional set programs and their application in local clustering and community detectionCode0
CHIP: A Hawkes Process Model for Continuous-time Networks with Scalable and Consistent EstimationCode0
Constraint-Induced Symmetric Nonnegative Matrix Factorization for Accurate Community DetectionCode0
CommunityGAN: Community Detection with Generative Adversarial NetsCode0
Community detection with spiking neural networks for neuromorphic hardwareCode0
Deep Network Embedding for Graph Representation Learning in Signed NetworksCode0
Almost exact recovery in noisy semi-supervised learningCode0
Community detection using diffusion informationCode0
Community Detection in Weighted Multilayer Networks with Ambient NoiseCode0
Community Detection in the Stochastic Block Model by Mixed Integer ProgrammingCode0
Community detection over a heterogeneous population of non-aligned networksCode0
Community detection in networks: A user guideCode0
Community detection in graphsCode0
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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