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 76–100 of 393 papers

TitleStatusHype
A Non-negative Symmetric Encoder-Decoder Approach for Community Detection—0
Book Review: Graph-Based Natural Language Processing and Information Retrieval by Rada Mihalcea and Dragomir Radev—0
Adaptive Homophily Clustering: Structure Homophily Graph Learning with Adaptive Filter for Hyperspectral Image—0
Blockchain-enabled Clustered and Scalable Federated Learning (BCS-FL) Framework in UAV Networks—0
Biharmonic Distance of Graphs and its Higher-Order Variants: Theoretical Properties with Applications to Centrality and Clustering—0
A Genetic Algorithm for Software Design Migration from Structured to Object Oriented Paradigm—0
Flexible and Robust Co-Regularized Multi-Domain Graph Clustering.—0
G^2uardFL: Safeguarding Federated Learning Against Backdoor Attacks through Attributed Client Graph Clustering—0
A New Parametric Estimation Method for Graph-based Clustering—0
Balanced Order Batching with Task-Oriented Graph Clustering—0
Fast low-rank estimation by projected gradient descent: General statistical and algorithmic guarantees—0
A Dynamic Mode Decomposition Approach for Decentralized Spectral Clustering of Graphs—0
Axioms for graph clustering quality functions—0
Community Detection and Growth Potential Prediction Using the Stochastic Block Model and the Long Short-term Memory from Patent Citation Networks—0
An Empirical Comparison of the Summarization Power of Graph Clustering Methods—0
Attribute-Missing Multi-view Graph Clustering—0
A Near-Linear Time Approximation Algorithm for Beyond-Worst-Case Graph Clustering—0
Deep Modularity Networks with Diversity--Preserving Regularization—0
Deep Graph Clustering via Mutual Information Maximization and Mixture Model—0
Attributed Graph Clustering via Generalized Quaternion Representation Learning—0
Faster Clustering via Non-Backtracking Random Walks—0
Federated Temporal Graph Clustering—0
Deep neural networks for learning graph representations—0
Geometry-Aware Neighborhood Search for Learning Local Models for Image Reconstruction—0
DEEP GEOMETRICAL GRAPH CLASSIFICATION—0
Show:102550
← PrevPage 4 of 16Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1R-DGAEACC70.5—Unverified
2R-GMM-VGAEACC68.9—Unverified
3AGCACC67—Unverified
4RWR-GAEACC61.6—Unverified
5RWR-VGAEACC61.3—Unverified
6ARGEACC57.3—Unverified
7ARVGEACC54.4—Unverified
8GAEACC40.8—Unverified
9DAEGC+GSCAN†NMI39.9—Unverified
#ModelMetricClaimedVerifiedStatus
1R-GMM-VGAEACC76.7—Unverified
2R-DGAEACC73.7—Unverified
3AGCACC68.92—Unverified
4RWR-VGAEACC68.5—Unverified
5RWR-GAEACC66.9—Unverified
6ARGEACC64—Unverified
7ARVGEACC63.8—Unverified
8GAEACC59.6—Unverified
9DAEGC+GSCAN†NMI52.4—Unverified
#ModelMetricClaimedVerifiedStatus
1R-GMM-VGAEACC74—Unverified
2RWR-VGAEACC73.6—Unverified
3RWR-GAEACC72.6—Unverified
4R-DGAEACC71.4—Unverified
5AGCACC69.78—Unverified
6VGAEACC65.48—Unverified
7DAEGC+GSCAN†NMI31.7—Unverified
#ModelMetricClaimedVerifiedStatus
1Polaratio Consensus ClusteringAdjusted Rand Index1—Unverified
#ModelMetricClaimedVerifiedStatus
1Polaratio Consensus ClusteringAdjusted Rand Index0.57—Unverified
#ModelMetricClaimedVerifiedStatus
1Polaratio Consensus ClusteringAdjusted Rand Index0.46—Unverified
#ModelMetricClaimedVerifiedStatus
1Polaratio Consensus ClusteringAdjusted Rand Index0.91—Unverified
#ModelMetricClaimedVerifiedStatus
1Polaratio Consensus ClusteringAdjusted Rand Index0.95—Unverified
#ModelMetricClaimedVerifiedStatus
1Polaratio Consensus ClusteringAdjusted Rand Index0.81—Unverified
#ModelMetricClaimedVerifiedStatus
1Polaratio Consensus ClusteringAdjusted Rand Index0.81—Unverified