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 76100 of 393 papers

TitleStatusHype
G^2uardFL: Safeguarding Federated Learning Against Backdoor Attacks through Attributed Client Graph Clustering0
Adaptive Homophily Clustering: Structure Homophily Graph Learning with Adaptive Filter for Hyperspectral Image0
Book Review: Graph-Based Natural Language Processing and Information Retrieval by Rada Mihalcea and Dragomir Radev0
Flexible and Robust Co-Regularized Multi-Domain Graph Clustering.0
Blockchain-enabled Clustered and Scalable Federated Learning (BCS-FL) Framework in UAV Networks0
Biharmonic Distance of Graphs and its Higher-Order Variants: Theoretical Properties with Applications to Centrality and Clustering0
A Genetic Algorithm for Software Design Migration from Structured to Object Oriented Paradigm0
Geometry-Aware Neighborhood Search for Learning Local Models for Image Reconstruction0
A New Parametric Estimation Method for Graph-based Clustering0
Balanced Order Batching with Task-Oriented Graph Clustering0
Fast low-rank estimation by projected gradient descent: General statistical and algorithmic guarantees0
A Dynamic Mode Decomposition Approach for Decentralized Spectral Clustering of Graphs0
Axioms for graph clustering quality functions0
Community Detection and Growth Potential Prediction Using the Stochastic Block Model and the Long Short-term Memory from Patent Citation Networks0
An Empirical Comparison of the Summarization Power of Graph Clustering Methods0
Attribute-Missing Multi-view Graph Clustering0
A Near-Linear Time Approximation Algorithm for Beyond-Worst-Case Graph Clustering0
Deep Modularity Networks with Diversity--Preserving Regularization0
Deep Graph Clustering via Mutual Information Maximization and Mixture Model0
Attributed Graph Clustering via Generalized Quaternion Representation Learning0
Faster Clustering via Non-Backtracking Random Walks0
Federated Temporal Graph Clustering0
Deep neural networks for learning graph representations0
GNN-XML: Graph Neural Networks for Extreme Multi-label Text Classification0
DEEP GEOMETRICAL GRAPH CLASSIFICATION0
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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