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
Generative hypergraph clustering: from blockmodels to modularityCode1
IncNSA: Detecting communities incrementally from time-evolving networks based on node similarityCode1
Node Identifiers: Compact, Discrete Representations for Efficient Graph LearningCode1
Flow-based Algorithms for Improving Clusters: A Unifying Framework, Software, and PerformanceCode1
DGCLUSTER: A Neural Framework for Attributed Graph Clustering via Modularity MaximizationCode1
Federated Graph Classification over Non-IID GraphsCode1
Interpretable Clustering on Dynamic Graphs with Recurrent Graph Neural NetworksCode1
Minimizing Localized Ratio Cut Objectives in HypergraphsCode1
Laplacian Regularized Few-Shot LearningCode1
Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNsCode1
Laplacian Regularized Few-Shot LearningCode1
Efficient graph convolution for joint node representation learning and clusteringCode1
Spectral Clustering with Graph Neural Networks for Graph PoolingCode1
RAMA: A Rapid Multicut Algorithm on GPUCode1
Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional NetworksCode1
Cluster-guided Contrastive Graph Clustering NetworkCode1
Simultaneous Linear Multi-view Attributed Graph Representation Learning and ClusteringCode1
Persistent Homological State-Space Estimation of Functional Human Brain Networks at RestCode1
Attributed Graph Clustering with Dual Redundancy ReductionCode1
CGC: Contrastive Graph Clustering for Community Detection and TrackingCode0
Approximate sampling and estimation of partition functions using neural networksCode0
A parameter-free graph reduction for spectral clustering and SpectralNetCode0
Latent structure blockmodels for Bayesian spectral graph clusteringCode0
Clustering-based Image-Text Graph Matching for Domain GeneralizationCode0
A Non-negative Symmetric Encoder-Decoder Approach for Community DetectionCode0
Adaptive Local Clustering over Attributed GraphsCode0
An Internal Validity Index Based on Density-Involved DistanceCode0
Inferring Networks From Random Walk-Based Node SimilaritiesCode0
Joint Graph Learning and Model Fitting in Laplacian Regularized Stratified ModelsCode0
Balancing the Tradeoff Between Clustering Value and InterpretabilityCode0
Affinity Clustering: Hierarchical Clustering at ScaleCode0
Calibrating and Improving Graph Contrastive LearningCode0
Balanced Multi-Relational Graph ClusteringCode0
An ensemble based on a bi-objective evolutionary spectral algorithm for graph clusteringCode0
A Versatile Framework for Attributed Network Clustering via K-Nearest Neighbor AugmentationCode0
Hippocluster: an efficient, hippocampus-inspired algorithm for graph clusteringCode0
Hierarchical Graph Clustering using Node Pair SamplingCode0
GSCAN: Graph Stability Clustering for Applications With Noise Using Edge-Aware Excess-of-MassCode0
Hierarchical Position Embedding of Graphs with Landmarks and Clustering for Link PredictionCode0
Incorporating User's Preference into Attributed Graph ClusteringCode0
Attributed Graph Clustering via Adaptive Graph ConvolutionCode0
AMOS: An Automated Model Order Selection Algorithm for Spectral Graph ClusteringCode0
Graph Fuzzy System: Concepts, Models and AlgorithmsCode0
Graph Max Shift: A Hill-Climbing Method for Graph ClusteringCode0
Improving Social Awareness Through DANTE: A Deep Affinity Network for Clustering Conversational InteractantsCode0
Cross-Camera Data Association via GNN for Supervised Graph ClusteringCode0
Correlation Clustering with Same-Cluster Queries Bounded by Optimal CostCode0
Attributed Graph Clustering: A Deep Attentional Embedding ApproachCode0
Correlation Clustering Algorithm for Dynamic Complete Signed Graphs: An Index-based ApproachCode0
Advanced Graph Clustering Methods: A Comprehensive and In-Depth AnalysisCode0
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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