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
Community detection, pattern recognition, and hypergraph-based learning: approaches using metric geometry and persistent homologyCode1
Graph Coloring with Physics-Inspired Graph Neural NetworksCode1
Community Detection in Bipartite Networks with Stochastic BlockmodelsCode1
Extended Stochastic Block Models with Application to Criminal NetworksCode1
Flow-based Algorithms for Improving Clusters: A Unifying Framework, Software, and PerformanceCode1
ConGraT: Self-Supervised Contrastive Pretraining for Joint Graph and Text EmbeddingsCode1
Self-Supervised Learning of Object Parts for Semantic SegmentationCode1
Covariate Regularized Community Detection in Sparse GraphsCode0
Analysis of ResearchGate, A Community Detection ApproachCode0
Adaptive Long-term Embedding with Denoising and Augmentation for RecommendationCode0
Coupled Graphs and Tensor Factorization for Recommender Systems and Community DetectionCode0
Deep Autoencoder-like Nonnegative Matrix Factorization for Community DetectionCode0
Deep Network Embedding for Graph Representation Learning in Signed NetworksCode0
Constraint-Induced Symmetric Nonnegative Matrix Factorization for Accurate Community DetectionCode0
Constrained fractional set programs and their application in local clustering and community detectionCode0
CommunityGAN: Community Detection with Generative Adversarial NetsCode0
CHIP: A Hawkes Process Model for Continuous-time Networks with Scalable and Consistent EstimationCode0
Almost exact recovery in noisy semi-supervised learningCode0
Community detection using diffusion informationCode0
Community detection over a heterogeneous population of non-aligned networksCode0
Community Detection in Weighted Multilayer Networks with Ambient NoiseCode0
Community Detection with Graph Neural NetworksCode0
Community detection in networks without observing edgesCode0
Community detection in networks: A user guideCode0
Community detection in sparse time-evolving graphs with a dynamical Bethe-HessianCode0
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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