SOTAVerified

Graph Clustering

Graph Clustering is the process of grouping the nodes of the graph into clusters, taking into account the edge structure of the graph in such a way that there are several edges within each cluster and very few between clusters. Graph Clustering intends to partition the nodes in the graph into disjoint groups.

Source: Clustering for Graph Datasets via Gumbel Softmax

Papers

Showing 2650 of 393 papers

TitleStatusHype
Learning a Proposal Classifier for Multiple Object TrackingCode1
LSEnet: Lorentz Structural Entropy Neural Network for Deep Graph ClusteringCode1
Spectral Clustering with Graph Neural Networks for Graph PoolingCode1
Deep Graph Clustering via Dual Correlation ReductionCode1
p-Norm Flow Diffusion for Local Graph ClusteringCode1
DGCLUSTER: A Neural Framework for Attributed Graph Clustering via Modularity MaximizationCode1
Deep Attention-guided Graph Clustering with Dual Self-supervisionCode1
CONVERT:Contrastive Graph Clustering with Reliable AugmentationCode1
Deep Temporal Graph ClusteringCode1
Align then Fusion: Generalized Large-scale Multi-view Clustering with Anchor Matching CorrespondencesCode1
Dirichlet Graph Variational AutoencoderCode1
Persistent Homological State-Space Estimation of Functional Human Brain Networks at RestCode1
A Survey of Adversarial Learning on GraphsCode1
A Survey of Deep Graph Clustering: Taxonomy, Challenge, Application, and Open ResourceCode1
Adaptive Graph Convolutional Network with Attention Graph Clustering for Co-saliency DetectionCode1
Federated Graph Classification over Non-IID GraphsCode1
Flow-based Algorithms for Improving Clusters: A Unifying Framework, Software, and PerformanceCode1
Attention-driven Graph Clustering NetworkCode1
Adversarially Regularized Graph Autoencoder for Graph EmbeddingCode1
Deep Fusion Clustering NetworkCode1
Graph Neural Distance Metric Learning with Graph-BertCode1
Accurate Learning of Graph Representations with Graph Multiset PoolingCode1
Attributed Graph Clustering with Dual Redundancy ReductionCode1
Interpretable Clustering on Dynamic Graphs with Recurrent Graph Neural NetworksCode1
Every Node is Different: Dynamically Fusing Self-Supervised Tasks for Attributed Graph ClusteringCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1R-DGAEACC70.5Unverified
2R-GMM-VGAEACC68.9Unverified
3AGCACC67Unverified
4RWR-GAEACC61.6Unverified
5RWR-VGAEACC61.3Unverified
6ARGEACC57.3Unverified
7ARVGEACC54.4Unverified
8GAEACC40.8Unverified
9DAEGC+GSCAN†NMI39.9Unverified
#ModelMetricClaimedVerifiedStatus
1R-GMM-VGAEACC76.7Unverified
2R-DGAEACC73.7Unverified
3AGCACC68.92Unverified
4RWR-VGAEACC68.5Unverified
5RWR-GAEACC66.9Unverified
6ARGEACC64Unverified
7ARVGEACC63.8Unverified
8GAEACC59.6Unverified
9DAEGC+GSCAN†NMI52.4Unverified
#ModelMetricClaimedVerifiedStatus
1R-GMM-VGAEACC74Unverified
2RWR-VGAEACC73.6Unverified
3RWR-GAEACC72.6Unverified
4R-DGAEACC71.4Unverified
5AGCACC69.78Unverified
6VGAEACC65.48Unverified
7DAEGC+GSCAN†NMI31.7Unverified
#ModelMetricClaimedVerifiedStatus
1Polaratio Consensus ClusteringAdjusted Rand Index1Unverified
#ModelMetricClaimedVerifiedStatus
1Polaratio Consensus ClusteringAdjusted Rand Index0.57Unverified
#ModelMetricClaimedVerifiedStatus
1Polaratio Consensus ClusteringAdjusted Rand Index0.46Unverified
#ModelMetricClaimedVerifiedStatus
1Polaratio Consensus ClusteringAdjusted Rand Index0.91Unverified
#ModelMetricClaimedVerifiedStatus
1Polaratio Consensus ClusteringAdjusted Rand Index0.95Unverified
#ModelMetricClaimedVerifiedStatus
1Polaratio Consensus ClusteringAdjusted Rand Index0.81Unverified
#ModelMetricClaimedVerifiedStatus
1Polaratio Consensus ClusteringAdjusted Rand Index0.81Unverified