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 26–50 of 393 papers

TitleStatusHype
LSEnet: Lorentz Structural Entropy Neural Network for Deep Graph ClusteringCode1
NCAGC: A Neighborhood Contrast Framework for Attributed Graph ClusteringCode1
Deep Graph Clustering via Dual Correlation ReductionCode1
Deep Fusion Clustering NetworkCode1
p-Norm Flow Diffusion for Local Graph ClusteringCode1
Efficient graph convolution for joint node representation learning and clusteringCode1
DGCLUSTER: A Neural Framework for Attributed Graph Clustering via Modularity MaximizationCode1
Dirichlet Graph Variational AutoencoderCode1
Persistent Homological State-Space Estimation of Functional Human Brain Networks at RestCode1
Align then Fusion: Generalized Large-scale Multi-view Clustering with Anchor Matching CorrespondencesCode1
Every Node is Different: Dynamically Fusing Self-Supervised Tasks for Attributed Graph ClusteringCode1
Federated Graph Classification over Non-IID GraphsCode1
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
Graph Neural Distance Metric Learning with Graph-BertCode1
Erdos Goes Neural: an Unsupervised Learning Framework for Combinatorial Optimization on GraphsCode1
Attention-driven Graph Clustering NetworkCode1
Adversarially Regularized Graph Autoencoder for Graph EmbeddingCode1
Cluster-guided Contrastive Graph Clustering NetworkCode1
IncNSA: Detecting communities incrementally from time-evolving networks based on node similarityCode1
Accurate Learning of Graph Representations with Graph Multiset PoolingCode1
Attributed Graph Clustering with Dual Redundancy ReductionCode1
Deep Temporal Graph ClusteringCode1
GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender SystemsCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1R-DGAEACC70.5—Unverified
2R-GMM-VGAEACC68.9—Unverified
3AGCACC67—Unverified
4RWR-GAEACC61.6—Unverified
5RWR-VGAEACC61.3—Unverified
6ARGEACC57.3—Unverified
7ARVGEACC54.4—Unverified
8GAEACC40.8—Unverified
9DAEGC+GSCAN†NMI39.9—Unverified
#ModelMetricClaimedVerifiedStatus
1R-GMM-VGAEACC76.7—Unverified
2R-DGAEACC73.7—Unverified
3AGCACC68.92—Unverified
4RWR-VGAEACC68.5—Unverified
5RWR-GAEACC66.9—Unverified
6ARGEACC64—Unverified
7ARVGEACC63.8—Unverified
8GAEACC59.6—Unverified
9DAEGC+GSCAN†NMI52.4—Unverified
#ModelMetricClaimedVerifiedStatus
1R-GMM-VGAEACC74—Unverified
2RWR-VGAEACC73.6—Unverified
3RWR-GAEACC72.6—Unverified
4R-DGAEACC71.4—Unverified
5AGCACC69.78—Unverified
6VGAEACC65.48—Unverified
7DAEGC+GSCAN†NMI31.7—Unverified
#ModelMetricClaimedVerifiedStatus
1Polaratio Consensus ClusteringAdjusted Rand Index1—Unverified
#ModelMetricClaimedVerifiedStatus
1Polaratio Consensus ClusteringAdjusted Rand Index0.57—Unverified
#ModelMetricClaimedVerifiedStatus
1Polaratio Consensus ClusteringAdjusted Rand Index0.46—Unverified
#ModelMetricClaimedVerifiedStatus
1Polaratio Consensus ClusteringAdjusted Rand Index0.91—Unverified
#ModelMetricClaimedVerifiedStatus
1Polaratio Consensus ClusteringAdjusted Rand Index0.95—Unverified
#ModelMetricClaimedVerifiedStatus
1Polaratio Consensus ClusteringAdjusted Rand Index0.81—Unverified
#ModelMetricClaimedVerifiedStatus
1Polaratio Consensus ClusteringAdjusted Rand Index0.81—Unverified