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 301325 of 393 papers

TitleStatusHype
Hermitian matrices for clustering directed graphs: insights and applications0
Hierarchical Agglomerative Graph Clustering in Nearly-Linear Time0
Higher-Order Spectral Clustering of Directed Graphs0
Human Semantic Segmentation using Millimeter-Wave Radar Sparse Point Clouds0
Hybrid Clustering based on Content and Connection Structure using Joint Nonnegative Matrix Factorization0
Hyperedge Modeling in Hypergraph Neural Networks by using Densest Overlapping Subgraphs0
Improved Dual Correlation Reduction Network0
Improved Graph Clustering0
Incorporating Higher-order Structural Information for Graph Clustering0
Incremental Multi-graph Matching via Diversity and Randomness based Graph Clustering0
Independence Promoted Graph Disentangled Networks0
Influence-Based Mini-Batching for Graph Neural Networks0
Information Recovery in Shuffled Graphs via Graph Matching0
Integration of graph clustering with ant colony optimization for feature selection0
JoBimText Visualizer: A Graph-based Approach to Contextualizing Distributional Similarity0
KCoreMotif: An Efficient Graph Clustering Algorithm for Large Networks by Exploiting k-core Decomposition and Motifs0
Multiway p-spectral graph cuts on Grassmann manifolds0
L2F/INESC-ID at SemEval-2019 Task 2: Unsupervised Lexical Semantic Frame Induction using Contextualized Word Representations0
Large Language Models and Knowledge Graphs for Astronomical Entity Disambiguation0
Large Scale Video Representation Learning via Relational Graph Clustering0
Layout-Graph Reasoning for Fashion Landmark Detection0
Learning a Fast 3D Spectral Approach to Object Segmentation and Tracking over Space and Time0
Learning Graph Embedding with Adversarial Training Methods0
Learning Graph Representations by Dendrograms0
Learning Uniform Clusters on Hypersphere for Deep Graph-level Clustering0
Show:102550
← PrevPage 13 of 16Next →

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