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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 226–250 of 393 papers

Title	Date	Tasks	Status
Hierarchical Agglomerative Graph Clustering in Nearly-Linear Time	Jun 10, 2021	ClusteringGraph Clustering	—Unverified
DIGRAC: Digraph Clustering Based on Flow Imbalance	Jun 9, 2021	ClusteringGraph Clustering	CodeCode Available
Vertex-Centric Visual Programming for Graph Neural Networks	Jun 9, 2021	Graph ClusteringLink Prediction	—Unverified
Local Algorithms for Finding Densely Connected Clusters	Jun 9, 2021	ClusteringGraph Clustering	CodeCode Available
Local Algorithms for Estimating Effective Resistance	Jun 7, 2021	ClusteringGraph Clustering	—Unverified
_2-norm Flow Diffusion in Near-Linear Time	May 30, 2021	ClusteringGraph Clustering	—Unverified
A Comprehensive Survey on Community Detection with Deep Learning	May 26, 2021	ClusteringCommunity Detection	—Unverified
Seeing All From a Few: Nodes Selection Using Graph Pooling for Graph Clustering	Apr 30, 2021	AllClustering	—Unverified
Seastar: vertex-centric programming for graph neural networks	Apr 21, 2021	GPUGraph Clustering	—Unverified
Query Driven-Graph Neural Networks for Community Search: From Non-Attributed, Attributed, to Interactive Attributed	Apr 8, 2021	AttributeCommunity Search	—Unverified
Multilayer Graph Clustering with Optimized Node Embedding	Mar 30, 2021	ClusteringGraph Clustering	—Unverified
Weighted Graph Nodes Clustering via Gumbel Softmax	Feb 22, 2021	ClusteringGraph Clustering	—Unverified
Effective and Scalable Clustering on Massive Attributed Graphs	Feb 7, 2021	AttributeClustering	—Unverified
Refining a -nearest neighbor graph for a computationally efficient spectral clustering	Feb 6, 2021	ClusteringComputational Efficiency	CodeCode Available
Calibrating and Improving Graph Contrastive Learning	Jan 27, 2021	Contrastive LearningGraph Clustering	CodeCode Available
Asymmetric Semi-Nonnegative Matrix Factorization for Directed Graph Clustering	Dec 31, 2020	ClusteringGraph Clustering	CodeCode Available
Asymmetric Semi-Nonnegative Matrix Factorization for Directed Graph Clustering	Dec 31, 2020	ClusteringGraph Clustering	CodeCode Available
Semi-supervised Hyperspectral Image Classification with Graph Clustering Convolutional Networks	Dec 20, 2020	ClassificationClustering	—Unverified
Polaratio: A magnitude-contingent monotonic correlation metric and its improvements to scRNA-seq clustering	Dec 20, 2020	ClusteringGraph Clustering	CodeCode Available
Product Graph Learning from Multi-domain Data with Sparsity and Rank Constraints	Dec 15, 2020	ClusteringGraph Clustering	—Unverified
GNN-XML: Graph Neural Networks for Extreme Multi-label Text Classification	Dec 10, 2020	ClusteringGeneral Classification	—Unverified
Efficient model selection in switching linear dynamic systems by graph clustering	Dec 8, 2020	ClusteringGraph Clustering	—Unverified
Mixed Membership Graph Clustering via Systematic Edge Query	Nov 25, 2020	ClusteringCommunity Detection	CodeCode Available
Higher-Order Spectral Clustering of Directed Graphs	Nov 10, 2020	ClusteringGraph Clustering	—Unverified
Monash-Summ@LongSumm 20 SciSummPip: An Unsupervised Scientific Paper Summarization Pipeline	Nov 1, 2020	Graph Clusteringgraph construction	—Unverified

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All datasets Citeseer Cora Pubmed Biase et al Bozec et al Deng et al Goolam et al Pollen et al Treutlein et al Yan et al

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	R-DGAE	ACC	70.5	—	Unverified
2	R-GMM-VGAE	ACC	68.9	—	Unverified
3	AGC	ACC	67	—	Unverified
4	RWR-GAE	ACC	61.6	—	Unverified
5	RWR-VGAE	ACC	61.3	—	Unverified
6	ARGE	ACC	57.3	—	Unverified
7	ARVGE	ACC	54.4	—	Unverified
8	GAE	ACC	40.8	—	Unverified
9	DAEGC+GSCAN†	NMI	39.9	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	R-GMM-VGAE	ACC	76.7	—	Unverified
2	R-DGAE	ACC	73.7	—	Unverified
3	AGC	ACC	68.92	—	Unverified
4	RWR-VGAE	ACC	68.5	—	Unverified
5	RWR-GAE	ACC	66.9	—	Unverified
6	ARGE	ACC	64	—	Unverified
7	ARVGE	ACC	63.8	—	Unverified
8	GAE	ACC	59.6	—	Unverified
9	DAEGC+GSCAN†	NMI	52.4	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	R-GMM-VGAE	ACC	74	—	Unverified
2	RWR-VGAE	ACC	73.6	—	Unverified
3	RWR-GAE	ACC	72.6	—	Unverified
4	R-DGAE	ACC	71.4	—	Unverified
5	AGC	ACC	69.78	—	Unverified
6	VGAE	ACC	65.48	—	Unverified
7	DAEGC+GSCAN†	NMI	31.7	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Polaratio Consensus Clustering	Adjusted Rand Index	1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Polaratio Consensus Clustering	Adjusted Rand Index	0.57	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Polaratio Consensus Clustering	Adjusted Rand Index	0.46	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Polaratio Consensus Clustering	Adjusted Rand Index	0.91	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Polaratio Consensus Clustering	Adjusted Rand Index	0.95	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Polaratio Consensus Clustering	Adjusted Rand Index	0.81	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Polaratio Consensus Clustering	Adjusted Rand Index	0.81	—	Unverified