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
Every Node is Different: Dynamically Fusing Self-Supervised Tasks for Attributed Graph ClusteringCode1
Deep Temporal Graph ClusteringCode1
SCGC : Self-Supervised Contrastive Graph ClusteringCode1
Homophily-enhanced Structure Learning for Graph ClusteringCode1
Spectral Toolkit of Algorithms for Graphs: Technical Report (1)Code1
Structure-Aware Face Clustering on a Large-Scale Graph With 107 NodesCode1
Node Identifiers: Compact, Discrete Representations for Efficient Graph LearningCode1
Unsupervised Differentiable Multi-aspect Network EmbeddingCode1
Variational Graph Auto-EncodersCode1
Interpretable Clustering on Dynamic Graphs with Recurrent Graph Neural NetworksCode1
Dirichlet Graph Variational AutoencoderCode1
Learning Co-segmentation by Segment Swapping for Retrieval and DiscoveryCode1
Persistent Homological State-Space Estimation of Functional Human Brain Networks at RestCode1
Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional NetworksCode1
Cluster-guided Contrastive Graph Clustering NetworkCode1
RepBin: Constraint-based Graph Representation Learning for Metagenomic BinningCode1
Federated Graph Classification over Non-IID GraphsCode1
Graph-Bert: Only Attention is Needed for Learning Graph RepresentationsCode1
Cascade-based Randomization for Inferring Causal Effects under Diffusion Interference0
Distributed Distributional Similarities of Google Books Over the Centuries0
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 Graph Clustering by Load Balancing0
Show:102550
← PrevPage 3 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