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
LouvainNE: Hierarchical Louvain Method for High Quality and Scalable Network EmbeddingCode1
MultiVERSE: a multiplex and multiplex-heterogeneous network embedding approachCode1
New Frontiers in Graph Autoencoders: Joint Community Detection and Link PredictionCode1
Random Walk on Multiple NetworksCode1
Evaluating Node Embeddings of Complex NetworksCode1
A network approach to topic modelsCode1
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on GraphsCode1
Contrastive Deep Nonnegative Matrix Factorization for Community DetectionCode1
Community detection using fast low-cardinality semidefinite programmingCode1
Breaking the Batch Barrier (B3) of Contrastive Learning via Smart Batch MiningCode1
Adversarial Attack on Community Detection by Hiding IndividualsCode1
Community detection, pattern recognition, and hypergraph-based learning: approaches using metric geometry and persistent homologyCode1
Detecting Communities from Heterogeneous Graphs: A Context Path-based Graph Neural Network ModelCode1
A Survey on Graph Counterfactual Explanations: Definitions, Methods, Evaluation, and Research ChallengesCode1
Extended Stochastic Block Models with Application to Criminal NetworksCode1
ConGraT: Self-Supervised Contrastive Pretraining for Joint Graph and Text EmbeddingsCode1
Fast Sequence-Based Embedding with Diffusion GraphsCode1
Correlation-based feature selection to identify functional dynamics in proteinsCode1
Amortized Probabilistic Detection of Communities in GraphsCode1
Explainable Global Wildfire Prediction Models using Graph Neural NetworksCode1
Graph Encoder Ensemble for Simultaneous Vertex Embedding and Community DetectionCode1
Hypergraph Contrastive Learning for Drug Trafficking Community DetectionCode1
Community Detection in Bipartite Networks with Stochastic BlockmodelsCode1
IncNSA: Detecting communities incrementally from time-evolving networks based on node similarityCode1
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