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 5175 of 393 papers

TitleStatusHype
Stability-Preserving Model Reduction of Networked Lur'e Systems0
Unveiling Global Interactive Patterns across Graphs: Towards Interpretable Graph Neural NetworksCode0
Synergistic Deep Graph Clustering NetworkCode1
Expander Hierarchies for Normalized Cuts on Graphs0
Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning PerspectiveCode1
Large Language Models and Knowledge Graphs for Astronomical Entity Disambiguation0
Statistical arbitrage in multi-pair trading strategy based on graph clustering algorithms in US equities market0
A Near-Linear Time Approximation Algorithm for Beyond-Worst-Case Graph Clustering0
Multi-View Stochastic Block Models0
Biharmonic Distance of Graphs and its Higher-Order Variants: Theoretical Properties with Applications to Centrality and Clustering0
Node Identifiers: Compact, Discrete Representations for Efficient Graph LearningCode1
Cascade-based Randomization for Inferring Causal Effects under Diffusion Interference0
Multi-order Graph Clustering with Adaptive Node-level Weight LearningCode0
LSEnet: Lorentz Structural Entropy Neural Network for Deep Graph ClusteringCode1
DGCformer: Deep Graph Clustering Transformer for Multivariate Time Series Forecasting0
Combinatorial Approximations for Cluster Deletion: Simpler, Faster, and BetterCode0
GSCAN: Graph Stability Clustering for Applications With Noise Using Edge-Aware Excess-of-MassCode0
Spectral Clustering for Directed Graphs via Likelihood Estimation on Stochastic Block ModelsCode0
Incorporating Higher-order Structural Information for Graph Clustering0
Graph learning methods to extract empathy supporting regions in a naturalistic stimuli fMRI0
Provable Filter for Real-world Graph Clustering0
Towards Cohesion-Fairness Harmony: Contrastive Regularization in Individual Fair Graph ClusteringCode0
Hierarchical Position Embedding of Graphs with Landmarks and Clustering for Link PredictionCode0
Randomized Algorithms for Symmetric Nonnegative Matrix Factorization0
Blockchain-enabled Clustered and Scalable Federated Learning (BCS-FL) Framework in UAV Networks0
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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