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 150 of 393 papers

TitleStatusHype
Scalable 3D Panoptic Segmentation As Superpoint Graph ClusteringCode4
Optimal Transport for structured data with application on graphsCode2
Dink-Net: Neural Clustering on Large GraphsCode2
Hard Sample Aware Network for Contrastive Deep Graph ClusteringCode2
Riemannian Optimization on Relaxed Indicator Matrix ManifoldCode2
Redundancy-Free Self-Supervised Relational Learning for Graph ClusteringCode1
Spectral Clustering with Graph Neural Networks for Graph PoolingCode1
Reinforcement Graph Clustering with Unknown Cluster NumberCode1
Interpretable Clustering on Dynamic Graphs with Recurrent Graph Neural NetworksCode1
Homophily-enhanced Structure Learning for Graph ClusteringCode1
Learning a Proposal Classifier for Multiple Object TrackingCode1
LSEnet: Lorentz Structural Entropy Neural Network for Deep Graph ClusteringCode1
Deep Fusion Clustering NetworkCode1
RAMA: A Rapid Multicut Algorithm on GPUCode1
Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNsCode1
Federated Graph Classification over Non-IID GraphsCode1
Every Node is Different: Dynamically Fusing Self-Supervised Tasks for Attributed Graph ClusteringCode1
Flow-based Algorithms for Improving Clusters: A Unifying Framework, Software, and PerformanceCode1
Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional NetworksCode1
GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender SystemsCode1
Homophily-Related: Adaptive Hybrid Graph Filter for Multi-View Graph ClusteringCode1
IncNSA: Detecting communities incrementally from time-evolving networks based on node similarityCode1
CONVERT:Contrastive Graph Clustering with Reliable AugmentationCode1
Laplacian Regularized Few-Shot LearningCode1
Learning Co-segmentation by Segment Swapping for Retrieval and DiscoveryCode1
Minimizing Localized Ratio Cut Objectives in HypergraphsCode1
Dirichlet Graph Variational AutoencoderCode1
Multi-view Contrastive Graph ClusteringCode1
Deep Attention-guided Graph Clustering with Dual Self-supervisionCode1
p-Norm Flow Diffusion for Local Graph ClusteringCode1
Persistent Homological State-Space Estimation of Functional Human Brain Networks at RestCode1
DGCLUSTER: A Neural Framework for Attributed Graph Clustering via Modularity MaximizationCode1
Deep Temporal Graph ClusteringCode1
NCAGC: A Neighborhood Contrast Framework for Attributed Graph ClusteringCode1
Align then Fusion: Generalized Large-scale Multi-view Clustering with Anchor Matching CorrespondencesCode1
Erdos Goes Neural: an Unsupervised Learning Framework for Combinatorial Optimization on GraphsCode1
Examining the Effects of Degree Distribution and Homophily in Graph Learning ModelsCode1
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
Efficient graph convolution for joint node representation learning and clusteringCode1
Graph Neural Distance Metric Learning with Graph-BertCode1
Attention-driven Graph Clustering NetworkCode1
Adversarially Regularized Graph Autoencoder for Graph EmbeddingCode1
Cluster-guided Contrastive Graph Clustering NetworkCode1
Generative hypergraph clustering: from blockmodels to modularityCode1
Accurate Learning of Graph Representations with Graph Multiset PoolingCode1
Attributed Graph Clustering with Dual Redundancy ReductionCode1
Deep Graph Clustering via Dual Correlation ReductionCode1
Graph-Bert: Only Attention is Needed for Learning Graph RepresentationsCode1
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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