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 71–80 of 393 papers

Title	Date	Tasks	Status	Hype
Provable Filter for Real-world Graph Clustering	Mar 6, 2024	ClusteringGraph Clustering	—Unverified	0
Towards Cohesion-Fairness Harmony: Contrastive Regularization in Individual Fair Graph Clustering	Feb 16, 2024	ClusteringFairness	CodeCode Available	0
Hierarchical Position Embedding of Graphs with Landmarks and Clustering for Link Prediction	Feb 13, 2024	ClusteringGraph Clustering	CodeCode Available	0
Randomized Algorithms for Symmetric Nonnegative Matrix Factorization	Feb 13, 2024	Graph Clustering	—Unverified	0
Blockchain-enabled Clustered and Scalable Federated Learning (BCS-FL) Framework in UAV Networks	Feb 7, 2024	Federated LearningGraph Clustering	—Unverified	0
End-to-End Supervised Hierarchical Graph Clustering for Speaker Diarization	Jan 23, 2024	ClusteringGraph Clustering	CodeCode Available	0
MaskClustering: View Consensus based Mask Graph Clustering for Open-Vocabulary 3D Instance Segmentation	Jan 15, 2024	3D Instance Segmentation3D Open-Vocabulary Instance Segmentation	—Unverified	0
Every Node is Different: Dynamically Fusing Self-Supervised Tasks for Attributed Graph Clustering	Jan 12, 2024	ClusteringGraph Clustering	CodeCode Available	1
Scalable 3D Panoptic Segmentation As Superpoint Graph Clustering	Jan 12, 2024	3D Panoptic Segmentation3D Semantic Segmentation	CodeCode Available	4
Masked AutoEncoder for Graph Clustering without Pre-defined Cluster Number k	Jan 9, 2024	ClusteringDecoder	—Unverified	0

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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