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 2650 of 919 papers

TitleStatusHype
Modularity-Aware Graph Autoencoders for Joint Community Detection and Link PredictionCode1
Community Detection in Bipartite Networks with Stochastic BlockmodelsCode1
New Frontiers in Graph Autoencoders: Joint Community Detection and Link PredictionCode1
Random Walk on Multiple NetworksCode1
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on GraphsCode1
ConGraT: Self-Supervised Contrastive Pretraining for Joint Graph and Text EmbeddingsCode1
Community detection, pattern recognition, and hypergraph-based learning: approaches using metric geometry and persistent homologyCode1
Boosting Multitask Learning on Graphs through Higher-Order Task AffinitiesCode1
A network approach to topic modelsCode1
Community detection using fast low-cardinality semidefinite programmingCode1
Adversarial Attack on Community Detection by Hiding IndividualsCode1
Artificial Benchmark for Community Detection (ABCD): Fast Random Graph Model with Community StructureCode1
Deep Learning for Community Detection: Progress, Challenges and OpportunitiesCode1
Amortized Probabilistic Detection of Communities in GraphsCode1
Explainable Global Wildfire Prediction Models using Graph Neural NetworksCode1
A Survey on Graph Counterfactual Explanations: Definitions, Methods, Evaluation, and Research ChallengesCode1
FaceMap: Towards Unsupervised Face Clustering via Map EquationCode1
Contrastive Deep Nonnegative Matrix Factorization for Community DetectionCode1
Evaluating Node Embeddings of Complex NetworksCode1
GeoAI-Enhanced Community Detection on Spatial Networks with Graph Deep LearningCode1
Graph Coloring with Physics-Inspired Graph Neural NetworksCode1
Hypergraph Contrastive Learning for Drug Trafficking Community DetectionCode1
Generative hypergraph clustering: from blockmodels to modularityCode1
Interferometric Graph Transform: a Deep Unsupervised Graph RepresentationCode1
Self-Supervised Learning of Object Parts for Semantic SegmentationCode1
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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