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 76100 of 393 papers

TitleStatusHype
End-to-End Supervised Hierarchical Graph Clustering for Speaker DiarizationCode0
MaskClustering: View Consensus based Mask Graph Clustering for Open-Vocabulary 3D Instance Segmentation0
Every Node is Different: Dynamically Fusing Self-Supervised Tasks for Attributed Graph ClusteringCode1
Scalable 3D Panoptic Segmentation As Superpoint Graph ClusteringCode4
Masked AutoEncoder for Graph Clustering without Pre-defined Cluster Number k0
Learning Persistent Community Structures in Dynamic Networks via Topological Data AnalysisCode0
Homophily-Related: Adaptive Hybrid Graph Filter for Multi-View Graph ClusteringCode1
Efficient High-Quality Clustering for Large Bipartite GraphsCode0
DGCLUSTER: A Neural Framework for Attributed Graph Clustering via Modularity MaximizationCode1
VSR-Net: Vessel-like Structure Rehabilitation Network with Graph Clustering0
A low-rank non-convex norm method for multiview graph clustering0
MeanCut: A Greedy-Optimized Graph Clustering via Path-based Similarity and Degree Descent CriterionCode0
Learning Uniform Clusters on Hypersphere for Deep Graph-level Clustering0
The DURel Annotation Tool: Human and Computational Measurement of Semantic Proximity, Sense Clusters and Semantic Change0
Community-Aware Efficient Graph Contrastive Learning via Personalized Self-Training0
Spectral Clustering of Attributed Multi-relational GraphsCode1
Robust Graph Clustering via Meta Weighting for Noisy GraphsCode0
Local Graph Clustering with Noisy Labels0
Clustering-based Image-Text Graph Matching for Domain GeneralizationCode0
The Map Equation Goes Neural: Mapping Network Flows with Graph Neural NetworksCode0
Redundancy-Free Self-Supervised Relational Learning for Graph ClusteringCode1
Efficient Multi-View Graph Clustering with Local and Global Structure PreservationCode0
Gap-Free Clustering: Sensitivity and Robustness of SDP0
Unified and Dynamic Graph for Temporal Character Grouping in Long Videos0
Edge-aware Hard Clustering Graph Pooling for Brain ImagingCode0
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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