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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 251–275 of 393 papers

TitleStatusHype
Gap-Free Clustering: Sensitivity and Robustness of SDP—0
CluStRE: Streaming Graph Clustering with Multi-Stage Refinement—0
Co-clustering for directed graphs: the Stochastic co-Blockmodel and spectral algorithm Di-Sim—0
Community-Aware Efficient Graph Contrastive Learning via Personalized Self-Training—0
Computing Nonlinear Eigenfunctions via Gradient Flow Extinction—0
Constant Approximation for Normalized Modularity and Associations Clustering—0
Contrastive Graph Clustering in Curvature Spaces—0
Conversation Group Detection With Spatio-Temporal Context—0
COREclust: a new package for a robust and scalable analysis of complex data—0
Deep attributed graph clustering with self-separation regularization and parameter-free cluster estimation—0
Deep Cut-informed Graph Embedding and Clustering—0
DEEP GEOMETRICAL GRAPH CLASSIFICATION—0
Deep Graph Clustering via Mutual Information Maximization and Mixture Model—0
Deep Modularity Networks with Diversity--Preserving Regularization—0
Deep neural networks for learning graph representations—0
DGCformer: Deep Graph Clustering Transformer for Multivariate Time Series Forecasting—0
Differentiable Hierarchical Graph Grouping for Multi-Person Pose Estimation—0
Distributed Distributional Similarities of Google Books Over the Centuries—0
Distributed Graph Clustering by Load Balancing—0
Do logarithmic proximity measures outperform plain ones in graph clustering?—0
Dual Information Enhanced Multi-view Attributed Graph Clustering—0
Dual-Optimized Adaptive Graph Reconstruction for Multi-View Graph Clustering—0
Dynamic Joint Variational Graph Autoencoders—0
Effective and Scalable Clustering on Massive Attributed Graphs—0
Efficient Eigen-updating for Spectral Graph Clustering—0
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All datasetsCiteseerCoraPubmedBiase et alBozec et alDeng et alGoolam et alPollen et alTreutlein et alYan et al

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