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 126150 of 393 papers

TitleStatusHype
DGCformer: Deep Graph Clustering Transformer for Multivariate Time Series Forecasting0
Combinatorial Approximations for Cluster Deletion: Simpler, Faster, and BetterCode0
GSCAN: Graph Stability Clustering for Applications With Noise Using Edge-Aware Excess-of-MassCode0
Spectral Clustering for Directed Graphs via Likelihood Estimation on Stochastic Block ModelsCode0
Incorporating Higher-order Structural Information for Graph Clustering0
Graph learning methods to extract empathy supporting regions in a naturalistic stimuli fMRI0
Provable Filter for Real-world Graph Clustering0
Towards Cohesion-Fairness Harmony: Contrastive Regularization in Individual Fair Graph ClusteringCode0
Hierarchical Position Embedding of Graphs with Landmarks and Clustering for Link PredictionCode0
Randomized Algorithms for Symmetric Nonnegative Matrix Factorization0
Blockchain-enabled Clustered and Scalable Federated Learning (BCS-FL) Framework in UAV Networks0
End-to-End Supervised Hierarchical Graph Clustering for Speaker DiarizationCode0
MaskClustering: View Consensus based Mask Graph Clustering for Open-Vocabulary 3D Instance Segmentation0
Masked AutoEncoder for Graph Clustering without Pre-defined Cluster Number k0
Learning Persistent Community Structures in Dynamic Networks via Topological Data AnalysisCode0
Efficient High-Quality Clustering for Large Bipartite GraphsCode0
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
Robust Graph Clustering via Meta Weighting for Noisy GraphsCode0
Local Graph Clustering with Noisy Labels0
Clustering-based Image-Text Graph Matching for Domain GeneralizationCode0
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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