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 151175 of 393 papers

TitleStatusHype
The Map Equation Goes Neural: Mapping Network Flows with Graph Neural NetworksCode0
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
Unpaired Multi-View Graph Clustering with Cross-View Structure MatchingCode0
Transforming Graphs for Enhanced Attribute Clustering: An Innovative Graph Transformer-Based Method0
Multi-class Graph Clustering via Approximated Effective p-ResistanceCode0
arXiv4TGC: Large-Scale Datasets for Temporal Graph ClusteringCode0
G^2uardFL: Safeguarding Federated Learning Against Backdoor Attacks through Attributed Client Graph Clustering0
Faster Approximation Algorithms for Parameterized Graph Clustering and Edge LabelingCode0
Progressive Sub-Graph Clustering Algorithm for Semi-Supervised Domain Adaptation Speaker Verification0
Multi-factor Sequential Re-ranking with Perception-Aware Diversification0
Transfer operators on graphs: Spectral clustering and beyond0
Two to Five Truths in Non-Negative Matrix Factorization0
Contrastive Graph Clustering in Curvature Spaces0
Joint Graph Learning and Model Fitting in Laplacian Regularized Stratified ModelsCode0
Taming graph kernels with random featuresCode0
Human Semantic Segmentation using Millimeter-Wave Radar Sparse Point Clouds0
Real-time Trajectory-based Social Group DetectionCode0
Feudal Graph Reinforcement LearningCode0
Neural-prior stochastic block model0
A parameter-free graph reduction for spectral clustering and SpectralNetCode0
Random projection tree similarity metric for SpectralNetCode0
Supervised Hierarchical Clustering using Graph Neural Networks for Speaker DiarizationCode0
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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