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 101125 of 393 papers

TitleStatusHype
SiMilarity-Enhanced Homophily for Multi-View Heterophilous Graph Clustering0
TopER: Topological Embeddings in Graph Representation Learning0
Cross-Camera Data Association via GNN for Supervised Graph ClusteringCode0
Hyperedge Modeling in Hypergraph Neural Networks by using Densest Overlapping Subgraphs0
Multi-Task Curriculum Graph Contrastive Learning with Clustering Entropy Guidance0
Structure-enhanced Contrastive Learning for Graph Clustering0
Graph Clustering with Cross-View Feature Propagation0
Scalable and Adaptive Spectral Embedding for Attributed Graph Clustering0
A Versatile Framework for Attributed Network Clustering via K-Nearest Neighbor AugmentationCode0
Self-Supervised Contrastive Graph Clustering Network via Structural Information Fusion0
Reliable Node Similarity Matrix Guided Contrastive Graph ClusteringCode0
Balanced Multi-Relational Graph ClusteringCode0
Advanced Graph Clustering Methods: A Comprehensive and In-Depth AnalysisCode0
Local Clustering for Lung Cancer Image Classification via Sparse Solution TechniqueCode0
Modularity aided consistent attributed graph clustering via coarsening0
Stability-Preserving Model Reduction of Networked Lur'e Systems0
Unveiling Global Interactive Patterns across Graphs: Towards Interpretable Graph Neural NetworksCode0
Expander Hierarchies for Normalized Cuts on Graphs0
Large Language Models and Knowledge Graphs for Astronomical Entity Disambiguation0
Statistical arbitrage in multi-pair trading strategy based on graph clustering algorithms in US equities market0
Multi-View Stochastic Block Models0
A Near-Linear Time Approximation Algorithm for Beyond-Worst-Case Graph Clustering0
Biharmonic Distance of Graphs and its Higher-Order Variants: Theoretical Properties with Applications to Centrality and Clustering0
Cascade-based Randomization for Inferring Causal Effects under Diffusion Interference0
Multi-order Graph Clustering with Adaptive Node-level Weight LearningCode0
Show:102550
← PrevPage 5 of 16Next →

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