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 301350 of 393 papers

TitleStatusHype
CLEAR: A Consistent Lifting, Embedding, and Alignment Rectification Algorithm for Multi-View Data AssociationCode0
Learning Graph Embedding with Adversarial Training Methods0
Stochastic Gradient Descent for Spectral Embedding with Implicit Orthogonality Constraint0
Inferring Networks From Random Walk-Based Node SimilaritiesCode0
OrthoNet: Multilayer Network Data Clustering0
An ensemble based on a bi-objective evolutionary spectral algorithm for graph clusteringCode0
Non-linear Attributed Graph Clustering by Symmetric NMF with PU LearningCode0
Ensemble Clustering for GraphsCode0
Learning-based Efficient Graph Similarity Computation via Multi-Scale Convolutional Set MatchingCode0
Distance preserving model order reduction of graph-Laplacians and cluster analysis0
Incremental Multi-graph Matching via Diversity and Randomness based Graph Clustering0
On a 'Two Truths' Phenomenon in Spectral Graph Clustering0
Watset: Local-Global Graph Clustering with Applications in Sense and Frame InductionCode0
Learning Graph Representations by Dendrograms0
Low-Rank Riemannian Optimization on Positive Semidefinite Stochastic Matrices with Applications to Graph Clustering0
Mean Field Analysis of Personalized PageRank with Implications for Local Graph Clustering0
Possibility results for graph clustering: A novel consistency axiom0
A Variational Image Segmentation Model based on Normalized Cut with Adaptive Similarity and Spatial Regularization0
A Projection Method for Metric-Constrained OptimizationCode0
Hierarchical Graph Clustering using Node Pair SamplingCode0
COREclust: a new package for a robust and scalable analysis of complex data0
Searching for a Single Community in a Graph0
Tie-Line Characteristics based Partitioning for Distributed Optimization of Power Systems0
Optimal Transport for structured data with application on graphsCode2
Spectral clustering algorithms for the detection of clusters in block-cyclic and block-acyclic graphs0
The Power Mean Laplacian for Multilayer Graph ClusteringCode0
Memetic Graph ClusteringCode0
Adversarially Regularized Graph Autoencoder for Graph EmbeddingCode1
A Theoretical Investigation of Graph Degree as an Unsupervised Normality Measure0
Learning Networks from Random Walk-Based Node SimilaritiesCode0
A Streaming Algorithm for Graph ClusteringCode0
Subspace Clustering via Tangent Cones0
Affinity Clustering: Hierarchical Clustering at ScaleCode0
Residual Gated Graph ConvNetsCode0
Marginalized graph autoencoder for graph clustering0
Revisiting Spectral Graph Clustering with Generative Community Models0
Practical Attacks Against Graph-based Clustering0
Faster Clustering via Non-Backtracking Random Walks0
Multilayer Spectral Graph Clustering via Convex Layer Aggregation: Theory and Algorithms0
Capacity Releasing Diffusion for Speed and Locality.0
Semantic Word Clusters Using Signed Spectral Clustering0
Capacity Releasing Diffusion for Speed and Locality0
Hybrid Clustering based on Content and Connection Structure using Joint Nonnegative Matrix Factorization0
When Slepian Meets Fiedler: Putting a Focus on the Graph SpectrumCode0
Graph Clustering: Block-models and model free results0
Variational Graph Auto-EncodersCode1
Multilayer Spectral Graph Clustering via Convex Layer Aggregation0
AMOS: An Automated Model Order Selection Algorithm for Spectral Graph ClusteringCode0
GoWvis: A Web Application for Graph-of-Words-based Text Visualization and Summarization0
Distributed Graph Clustering by Load Balancing0
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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