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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–50 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 Learning—0
Rhomboid Tiling for Geometric Graph Deep Learning—0
A Geometric Approach to Problems in Optimization and Data Science—0
HAECcity: Open-Vocabulary Scene Understanding of City-Scale Point Clouds with Superpoint Graph Clustering—0
Adaptive Local Clustering over Attributed GraphsCode0
Riemannian Optimization on Relaxed Indicator Matrix ManifoldCode2
PanoGS: Gaussian-based Panoptic Segmentation for 3D Open Vocabulary Scene Understanding—0
Deep Cut-informed Graph Embedding and Clustering—0
CluStRE: Streaming Graph Clustering with Multi-Stage Refinement—0
SLCGC: A lightweight Self-supervised Low-pass Contrastive Graph Clustering Network for Hyperspectral Images—0
Modular Training of Neural Networks aids Interpretability—0
Deep Modularity Networks with Diversity--Preserving Regularization—0
Adaptive Homophily Clustering: Structure Homophily Graph Learning with Adaptive Filter for Hyperspectral Image—0
Attribute-Missing Multi-view Graph Clustering—0
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 Couplings—0
Scaling Up Graph Propagation Computation on Large Graphs: A Local Chebyshev Approximation Approach—0
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 Events—0
Graph Max Shift: A Hill-Climbing Method for Graph ClusteringCode0
Attributed Graph Clustering via Generalized Quaternion Representation Learning—0
Attributed Graph Clustering in Collaborative Settings—0
Low-Rank Optimal Transport through Factor Relaxation with Latent Coupling—0
The ParClusterers Benchmark Suite (PCBS): A Fine-Grained Analysis of Scalable Graph Clustering—0
Multiscale Graph Construction Using Non-local Cluster Features—0
Dual-Optimized Adaptive Graph Reconstruction for Multi-View Graph Clustering—0
RDSA: A Robust Deep Graph Clustering Framework via Dual Soft AssignmentCode0
Sentiment-Driven Community Detection in a Network of Perfume PreferencesCode0
A Semidefinite Relaxation Approach for Fair Graph ClusteringCode0
Federated Temporal Graph Clustering—0
SiMilarity-Enhanced Homophily for Multi-View Heterophilous Graph Clustering—0
TopER: Topological Embeddings in Graph Representation Learning—0
Cross-Camera Data Association via GNN for Supervised Graph ClusteringCode0
Hyperedge Modeling in Hypergraph Neural Networks by using Densest Overlapping Subgraphs—0
Multi-Task Curriculum Graph Contrastive Learning with Clustering Entropy Guidance—0
Structure-enhanced Contrastive Learning for Graph Clustering—0
Graph Clustering with Cross-View Feature Propagation—0
Scalable and Adaptive Spectral Embedding for Attributed Graph Clustering—0
A Versatile Framework for Attributed Network Clustering via K-Nearest Neighbor AugmentationCode0
scASDC: Attention Enhanced Structural Deep Clustering for Single-cell RNA-seq DataCode1
Self-Supervised Contrastive Graph Clustering Network via Structural Information Fusion—0
Reliable Node Similarity Matrix Guided Contrastive Graph ClusteringCode0
Balanced Multi-Relational Graph ClusteringCode0
Advanced Graph Clustering Methods: A Comprehensive and In-Depth AnalysisCode0
Local Clustering for Lung Cancer Image Classification via Sparse Solution TechniqueCode0
Modularity aided consistent attributed graph clustering via coarsening—0
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All datasetsCiteseerCoraPubmedBiase et alBozec et alDeng et alGoolam et alPollen et alTreutlein et alYan et al

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1R-DGAEACC70.5—Unverified
2R-GMM-VGAEACC68.9—Unverified
3AGCACC67—Unverified
4RWR-GAEACC61.6—Unverified
5RWR-VGAEACC61.3—Unverified
6ARGEACC57.3—Unverified
7ARVGEACC54.4—Unverified
8GAEACC40.8—Unverified
9DAEGC+GSCAN†NMI39.9—Unverified
#ModelMetricClaimedVerifiedStatus
1R-GMM-VGAEACC76.7—Unverified
2R-DGAEACC73.7—Unverified
3AGCACC68.92—Unverified
4RWR-VGAEACC68.5—Unverified
5RWR-GAEACC66.9—Unverified
6ARGEACC64—Unverified
7ARVGEACC63.8—Unverified
8GAEACC59.6—Unverified
9DAEGC+GSCAN†NMI52.4—Unverified
#ModelMetricClaimedVerifiedStatus
1R-GMM-VGAEACC74—Unverified
2RWR-VGAEACC73.6—Unverified
3RWR-GAEACC72.6—Unverified
4R-DGAEACC71.4—Unverified
5AGCACC69.78—Unverified
6VGAEACC65.48—Unverified
7DAEGC+GSCAN†NMI31.7—Unverified
#ModelMetricClaimedVerifiedStatus
1Polaratio Consensus ClusteringAdjusted Rand Index1—Unverified
#ModelMetricClaimedVerifiedStatus
1Polaratio Consensus ClusteringAdjusted Rand Index0.57—Unverified
#ModelMetricClaimedVerifiedStatus
1Polaratio Consensus ClusteringAdjusted Rand Index0.46—Unverified
#ModelMetricClaimedVerifiedStatus
1Polaratio Consensus ClusteringAdjusted Rand Index0.91—Unverified
#ModelMetricClaimedVerifiedStatus
1Polaratio Consensus ClusteringAdjusted Rand Index0.95—Unverified
#ModelMetricClaimedVerifiedStatus
1Polaratio Consensus ClusteringAdjusted Rand Index0.81—Unverified
#ModelMetricClaimedVerifiedStatus
1Polaratio Consensus ClusteringAdjusted Rand Index0.81—Unverified