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
Independence Promoted Graph Disentangled Networks0
Graph Clustering with Graph Neural Networks0
Graph Clustering with Cross-View Feature Propagation0
A low-rank non-convex norm method for multiview graph clustering0
Influence-Based Mini-Batching for Graph Neural Networks0
Graph clustering with Boltzmann machines0
Computing Nonlinear Eigenfunctions via Gradient Flow Extinction0
Graph clustering, variational image segmentation methods and Hough transform scale detection for object measurement in images0
Co-clustering for directed graphs: the Stochastic co-Blockmodel and spectral algorithm Di-Sim0
Graph Clustering: Block-models and model free results0
Graph Clustering Bandits for Recommendation0
Constant Approximation for Normalized Modularity and Associations Clustering0
CluStRE: Streaming Graph Clustering with Multi-Stage Refinement0
HAECcity: Open-Vocabulary Scene Understanding of City-Scale Point Clouds with Superpoint Graph Clustering0
A Comprehensive Survey on Community Detection with Deep Learning0
Hermitian matrices for clustering directed graphs: insights and applications0
Gap-Free Clustering: Sensitivity and Robustness of SDP0
Distance preserving model order reduction of graph-Laplacians and cluster analysis0
A Modular Framework for Centrality and Clustering in Complex Networks0
Higher-Order Spectral Clustering of Directed Graphs0
COREclust: a new package for a robust and scalable analysis of complex data0
GoWvis: A Web Application for Graph-of-Words-based Text Visualization and Summarization0
GNN-XML: Graph Neural Networks for Extreme Multi-label Text Classification0
Human Semantic Segmentation using Millimeter-Wave Radar Sparse Point Clouds0
Incorporating Higher-order Structural Information for Graph Clustering0
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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