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 101125 of 393 papers

TitleStatusHype
DEEP GEOMETRICAL GRAPH CLASSIFICATION0
Differentiable Hierarchical Graph Grouping for Multi-Person Pose Estimation0
Axioms for graph clustering quality functions0
An application of topological graph clustering to protein function prediction0
Deep Cut-informed Graph Embedding and Clustering0
Deep attributed graph clustering with self-separation regularization and parameter-free cluster estimation0
Attributed Graph Clustering in Collaborative Settings0
Distributed Graph Clustering by Load Balancing0
Do logarithmic proximity measures outperform plain ones in graph clustering?0
Graph clustering, variational image segmentation methods and Hough transform scale detection for object measurement in images0
Dual Information Enhanced Multi-view Attributed Graph Clustering0
Dual-Optimized Adaptive Graph Reconstruction for Multi-View Graph Clustering0
Dynamic Joint Variational Graph Autoencoders0
Graph Clustering Bandits for Recommendation0
Book Review: Graph-Based Natural Language Processing and Information Retrieval by Rada Mihalcea and Dragomir Radev0
Effective and Scalable Clustering on Massive Attributed Graphs0
GoWvis: A Web Application for Graph-of-Words-based Text Visualization and Summarization0
Efficient Eigen-updating for Spectral Graph Clustering0
Graph Clustering: Block-models and model free results0
Graph clustering with Boltzmann machines0
Efficient model selection in switching linear dynamic systems by graph clustering0
Capacity Releasing Diffusion for Speed and Locality0
_2-norm Flow Diffusion in Near-Linear Time0
Embedding Graph Auto-Encoder for Graph Clustering0
A Theoretical Investigation of Graph Degree as an Unsupervised Normality Measure0
Show:102550
← PrevPage 5 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