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 81–90 of 393 papers

Title	Date	Tasks	Status	Score
Affinity Clustering: Hierarchical Clustering at Scale	Dec 1, 2017	ClusteringGraph Clustering	CodeCode Available	5
Graphon based Clustering and Testing of Networks: Algorithms and Theory	Oct 6, 2021	ClassificationClustering	CodeCode Available	5
Balanced Multi-Relational Graph Clustering	Jul 23, 2024	ClusteringContrastive Learning	CodeCode Available	5
An ensemble based on a bi-objective evolutionary spectral algorithm for graph clustering	Oct 8, 2018	ClusteringGraph Clustering	CodeCode Available	5
Gromov-Wasserstein Factorization Models for Graph Clustering	Nov 19, 2019	ClusteringGraph Clustering	CodeCode Available	5
A Versatile Framework for Attributed Network Clustering via K-Nearest Neighbor Augmentation	Aug 10, 2024	AttributeClustering	CodeCode Available	5
Graph Fuzzy System: Concepts, Models and Algorithms	Oct 30, 2022	Graph ClassificationGraph Clustering	CodeCode Available	5
Graph Max Shift: A Hill-Climbing Method for Graph Clustering	Nov 27, 2024	ClusteringGraph Clustering	CodeCode Available	5
GSCAN: Graph Stability Clustering for Applications With Noise Using Edge-Aware Excess-of-Mass	Apr 17, 2024	ClusteringGraph Clustering	CodeCode Available	5
Incorporating User's Preference into Attributed Graph Clustering	Mar 24, 2020	AttributeClustering	CodeCode Available	5

Show:10 25 50

← PrevPage 9 of 40Next →

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