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 125 of 393 papers

TitleStatusHype
Tri-Learn Graph Fusion Network for Attributed Graph ClusteringCode1
Unsupervised Graph Clustering with Deep Structural EntropyCode0
Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning0
Rhomboid Tiling for Geometric Graph Deep Learning0
A Geometric Approach to Problems in Optimization and Data Science0
HAECcity: Open-Vocabulary Scene Understanding of City-Scale Point Clouds with Superpoint Graph Clustering0
Adaptive Local Clustering over Attributed GraphsCode0
Riemannian Optimization on Relaxed Indicator Matrix ManifoldCode2
PanoGS: Gaussian-based Panoptic Segmentation for 3D Open Vocabulary Scene Understanding0
Deep Cut-informed Graph Embedding and Clustering0
CluStRE: Streaming Graph Clustering with Multi-Stage Refinement0
SLCGC: A lightweight Self-supervised Low-pass Contrastive Graph Clustering Network for Hyperspectral Images0
Modular Training of Neural Networks aids Interpretability0
Deep Modularity Networks with Diversity--Preserving Regularization0
Adaptive Homophily Clustering: Structure Homophily Graph Learning with Adaptive Filter for Hyperspectral Image0
Attribute-Missing Multi-view Graph Clustering0
GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender SystemsCode1
PASCO (PArallel Structured COarsening): an overlay to speed up graph clustering algorithmsCode0
THESAURUS: Contrastive Graph Clustering by Swapping Fused Gromov-Wasserstein Couplings0
Scaling Up Graph Propagation Computation on Large Graphs: A Local Chebyshev Approximation Approach0
One Node One Model: Featuring the Missing-Half for Graph ClusteringCode0
Provably Extending PageRank-based Local Clustering Algorithm to Weighted Directed Graphs with Self-Loops and to HypergraphsCode0
Adaptive Traffic Element-Based Streetlight Control Using Neighbor Discovery Algorithm Based on IoT Events0
Graph Max Shift: A Hill-Climbing Method for Graph ClusteringCode0
Attributed Graph Clustering via Generalized Quaternion Representation Learning0
Show:102550
← PrevPage 1 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