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 51100 of 393 papers

TitleStatusHype
Interpretable Clustering on Dynamic Graphs with Recurrent Graph Neural NetworksCode1
Deep Fusion Clustering NetworkCode1
Dirichlet Graph Variational AutoencoderCode1
IncNSA: Detecting communities incrementally from time-evolving networks based on node similarityCode1
Laplacian Regularized Few-Shot LearningCode1
Laplacian Regularized Few-Shot LearningCode1
Erdos Goes Neural: an Unsupervised Learning Framework for Combinatorial Optimization on GraphsCode1
Unsupervised Differentiable Multi-aspect Network EmbeddingCode1
p-Norm Flow Diffusion for Local Graph ClusteringCode1
Flow-based Algorithms for Improving Clusters: A Unifying Framework, Software, and PerformanceCode1
Adaptive Graph Convolutional Network with Attention Graph Clustering for Co-saliency DetectionCode1
A Survey of Adversarial Learning on GraphsCode1
Minimizing Localized Ratio Cut Objectives in HypergraphsCode1
Graph Neural Distance Metric Learning with Graph-BertCode1
Graph-Bert: Only Attention is Needed for Learning Graph RepresentationsCode1
Spectral Clustering with Graph Neural Networks for Graph PoolingCode1
Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional NetworksCode1
Adversarially Regularized Graph Autoencoder for Graph EmbeddingCode1
Variational Graph Auto-EncodersCode1
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
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
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
Attributed Graph Clustering in Collaborative Settings0
The ParClusterers Benchmark Suite (PCBS): A Fine-Grained Analysis of Scalable Graph Clustering0
Low-Rank Optimal Transport through Factor Relaxation with Latent Coupling0
Multiscale Graph Construction Using Non-local Cluster Features0
Dual-Optimized Adaptive Graph Reconstruction for Multi-View Graph Clustering0
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 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