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 326–350 of 393 papers

TitleStatusHype
Tie-Line Characteristics based Partitioning for Distributed Optimization of Power Systems—0
Spectral clustering algorithms for the detection of clusters in block-cyclic and block-acyclic graphs—0
The Power Mean Laplacian for Multilayer Graph ClusteringCode0
Memetic Graph ClusteringCode0
A Theoretical Investigation of Graph Degree as an Unsupervised Normality Measure—0
Learning Networks from Random Walk-Based Node SimilaritiesCode0
A Streaming Algorithm for Graph ClusteringCode0
Subspace Clustering via Tangent Cones—0
Affinity Clustering: Hierarchical Clustering at ScaleCode0
Residual Gated Graph ConvNetsCode0
Marginalized graph autoencoder for graph clustering—0
Revisiting Spectral Graph Clustering with Generative Community Models—0
Practical Attacks Against Graph-based Clustering—0
Faster Clustering via Non-Backtracking Random Walks—0
Multilayer Spectral Graph Clustering via Convex Layer Aggregation: Theory and Algorithms—0
Capacity Releasing Diffusion for Speed and Locality.—0
Semantic Word Clusters Using Signed Spectral Clustering—0
Capacity Releasing Diffusion for Speed and Locality—0
Hybrid Clustering based on Content and Connection Structure using Joint Nonnegative Matrix Factorization—0
When Slepian Meets Fiedler: Putting a Focus on the Graph SpectrumCode0
Graph Clustering: Block-models and model free results—0
Multilayer Spectral Graph Clustering via Convex Layer Aggregation—0
AMOS: An Automated Model Order Selection Algorithm for Spectral Graph ClusteringCode0
GoWvis: A Web Application for Graph-of-Words-based Text Visualization and Summarization—0
Distributed Graph Clustering by Load Balancing—0
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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