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 201225 of 393 papers

TitleStatusHype
Transfer operators on graphs: Spectral clustering and beyond0
Transforming Graphs for Enhanced Attribute Clustering: An Innovative Graph Transformer-Based Method0
Tripartite Graph Clustering for Dynamic Sentiment Analysis on Social Media0
Two to Five Truths in Non-Negative Matrix Factorization0
UKP-WSI: UKP Lab Semeval-2013 Task 11 System Description0
Unified and Dynamic Graph for Temporal Character Grouping in Long Videos0
Unsupervised Learning of A-Morphous Inflection with Graph Clustering0
Utilizing Technical Data to Discover Similar Companies in Dhaka Stock Exchange0
Vertex-Centric Visual Programming for Graph Neural Networks0
VSR-Net: Vessel-like Structure Rehabilitation Network with Graph Clustering0
Weakly Supervised Graph Clustering0
Weighted Graph Nodes Clustering via Gumbel Softmax0
Multilayer Graph Clustering with Optimized Node Embedding0
Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning0
A Comprehensive Survey on Community Detection with Deep Learning0
Adaptive Homophily Clustering: Structure Homophily Graph Learning with Adaptive Filter for Hyperspectral Image0
Adaptive Traffic Element-Based Streetlight Control Using Neighbor Discovery Algorithm Based on IoT Events0
A Dynamic Mode Decomposition Approach for Decentralized Spectral Clustering of Graphs0
A Genetic Algorithm for Software Design Migration from Structured to Object Oriented Paradigm0
A Geometric Approach to Problems in Optimization and Data Science0
A Group Norm Regularized Factorization Model for Subspace Segmentation0
AI-KU: Using Substitute Vectors and Co-Occurrence Modeling For Word Sense Induction and Disambiguation0
A low-rank non-convex norm method for multiview graph clustering0
A Model for Image Segmentation in Retina0
A Modular Framework for Centrality and Clustering in Complex Networks0
Show:102550
← PrevPage 9 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