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 151200 of 393 papers

TitleStatusHype
The Map Equation Goes Neural: Mapping Network Flows with Graph Neural NetworksCode0
Efficient Multi-View Graph Clustering with Local and Global Structure PreservationCode0
Gap-Free Clustering: Sensitivity and Robustness of SDP0
Unified and Dynamic Graph for Temporal Character Grouping in Long Videos0
Edge-aware Hard Clustering Graph Pooling for Brain ImagingCode0
Unpaired Multi-View Graph Clustering with Cross-View Structure MatchingCode0
Transforming Graphs for Enhanced Attribute Clustering: An Innovative Graph Transformer-Based Method0
Multi-class Graph Clustering via Approximated Effective p-ResistanceCode0
G^2uardFL: Safeguarding Federated Learning Against Backdoor Attacks through Attributed Client Graph Clustering0
Faster Approximation Algorithms for Parameterized Graph Clustering and Edge LabelingCode0
arXiv4TGC: Large-Scale Datasets for Temporal Graph ClusteringCode0
Progressive Sub-Graph Clustering Algorithm for Semi-Supervised Domain Adaptation Speaker Verification0
Multi-factor Sequential Re-ranking with Perception-Aware Diversification0
Transfer operators on graphs: Spectral clustering and beyond0
Two to Five Truths in Non-Negative Matrix Factorization0
Contrastive Graph Clustering in Curvature Spaces0
Joint Graph Learning and Model Fitting in Laplacian Regularized Stratified ModelsCode0
Taming graph kernels with random featuresCode0
Human Semantic Segmentation using Millimeter-Wave Radar Sparse Point Clouds0
Real-time Trajectory-based Social Group DetectionCode0
Feudal Graph Reinforcement LearningCode0
Neural-prior stochastic block model0
A parameter-free graph reduction for spectral clustering and SpectralNetCode0
Random projection tree similarity metric for SpectralNetCode0
Supervised Hierarchical Clustering using Graph Neural Networks for Speaker DiarizationCode0
Refining a k-nearest neighbor graph for a computationally efficient spectral clusteringCode0
Approximate spectral clustering density-based similarity for noisy datasetsCode0
Approximate spectral clustering with eigenvector selection and self-tuned kCode0
ClusterFuG: Clustering Fully connected Graphs by MulticutCode0
Utilizing Technical Data to Discover Similar Companies in Dhaka Stock Exchange0
Sample-Level Multi-View Graph Clustering0
Correlation Clustering Algorithm for Dynamic Complete Signed Graphs: An Index-based ApproachCode0
On Learning the Structure of Clusters in Graphs0
Constant Approximation for Normalized Modularity and Associations Clustering0
Influence-Based Mini-Batching for Graph Neural Networks0
Learning a Fast 3D Spectral Approach to Object Segmentation and Tracking over Space and Time0
GraphLearner: Graph Node Clustering with Fully Learnable AugmentationCode0
Dual Information Enhanced Multi-view Attributed Graph Clustering0
Scalable and Effective Conductance-based Graph Clustering0
EGRC-Net: Embedding-induced Graph Refinement Clustering NetworkCode0
Learning Optimal Graph Filters for Clustering of Attributed Graphs0
Graph Fuzzy System: Concepts, Models and AlgorithmsCode0
Efficient block contrastive learning via parameter-free meta-node approximationCode0
Approximate sampling and estimation of partition functions using neural networksCode0
Rethinking Symmetric Matrix Factorization: A More General and Better Clustering PerspectiveCode0
Stochastic Parallelizable Eigengap Dilation for Large Graph Clustering0
flow-based clustering and spectral clustering: a comparison0
Conversation Group Detection With Spatio-Temporal Context0
Hippocluster: an efficient, hippocampus-inspired algorithm for graph clusteringCode0
Simple Contrastive 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