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 5175 of 393 papers

TitleStatusHype
RuDSI: graph-based word sense induction dataset for RussianCode1
Erdos Goes Neural: an Unsupervised Learning Framework for Combinatorial Optimization on GraphsCode1
Deep Temporal Graph ClusteringCode1
SCGC : Self-Supervised Contrastive Graph ClusteringCode1
Spectral Toolkit of Algorithms for Graphs: Technical Report (1)Code1
Structure-Aware Face Clustering on a Large-Scale Graph with 10^7 NodesCode1
Node Identifiers: Compact, Discrete Representations for Efficient Graph LearningCode1
Synergistic Deep Graph Clustering NetworkCode1
Variational Graph Auto-EncodersCode1
Variational Graph Generator for Multi-View Graph ClusteringCode1
Dirichlet Graph Variational AutoencoderCode1
Learning a Proposal Classifier for Multiple Object TrackingCode1
Reinforcement Graph Clustering with Unknown Cluster NumberCode1
NCAGC: A Neighborhood Contrast Framework for Attributed Graph ClusteringCode1
Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional NetworksCode1
Cluster-guided Contrastive Graph Clustering NetworkCode1
Every Node is Different: Dynamically Fusing Self-Supervised Tasks for Attributed Graph ClusteringCode1
Examining the Effects of Degree Distribution and Homophily in Graph Learning ModelsCode1
Flow-based Algorithms for Improving Clusters: A Unifying Framework, Software, and PerformanceCode1
Cascade-based Randomization for Inferring Causal Effects under Diffusion Interference0
Capacity Releasing Diffusion for Speed and Locality0
Capacity Releasing Diffusion for Speed and Locality.0
A Geometric Approach to Problems in Optimization and Data Science0
Distributed Distributional Similarities of Google Books Over the Centuries0
A Non-negative Symmetric Encoder-Decoder Approach for Community Detection0
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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