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 151–175 of 393 papers

Title	Date	Tasks	Status	Score
Learning Persistent Community Structures in Dynamic Networks via Topological Data Analysis	Jan 6, 2024	ClusteringCommunity Detection	CodeCode Available	5
RDSA: A Robust Deep Graph Clustering Framework via Dual Soft Assignment	Oct 29, 2024	ClusteringDenoising	CodeCode Available	5
A Streaming Algorithm for Graph Clustering	Dec 9, 2017	ClusteringGraph Clustering	CodeCode Available	5
Graph Fuzzy System: Concepts, Models and Algorithms	Oct 30, 2022	Graph ClassificationGraph Clustering	CodeCode Available	5
Joint Graph Learning and Model Fitting in Laplacian Regularized Stratified Models	May 4, 2023	Few-Shot LearningGraph Clustering	CodeCode Available	5
Feudal Graph Reinforcement Learning	Apr 11, 2023	Decision MakingGraph Clustering	CodeCode Available	5
Graph Max Shift: A Hill-Climbing Method for Graph Clustering	Nov 27, 2024	ClusteringGraph Clustering	CodeCode Available	5
A Projection Method for Metric-Constrained Optimization	Jun 5, 2018	ClusteringGraph Clustering	CodeCode Available	5
Inferring Networks From Random Walk-Based Node Similarities	Dec 1, 2018	Anomaly DetectionClustering	CodeCode Available	5
Graphon based Clustering and Testing of Networks: Algorithms and Theory	Oct 6, 2021	ClassificationClustering	CodeCode Available	5
GraphLearner: Graph Node Clustering with Fully Learnable Augmentation	Dec 7, 2022	AttributeClustering	CodeCode Available	5
Gromov-Wasserstein Factorization Models for Graph Clustering	Nov 19, 2019	ClusteringGraph Clustering	CodeCode Available	5
Learning Resolution Parameters for Graph Clustering	Mar 12, 2019	ClusteringGraph Clustering	CodeCode Available	5
Calibrating and Improving Graph Contrastive Learning	Jan 27, 2021	Contrastive LearningGraph Clustering	CodeCode Available	5
Faster Approximation Algorithms for Parameterized Graph Clustering and Edge Labeling	Jun 8, 2023	ClusteringGraph Clustering	CodeCode Available	5
p-Norm Flow Diffusion for Local Graph Clustering	Jan 1, 2020	ClusteringCommunity Detection	CodeCode Available	5
Approximate spectral clustering with eigenvector selection and self-tuned k	Feb 22, 2023	ClusteringGraph Clustering	CodeCode Available	5
Hierarchical Graph Clustering using Node Pair Sampling	Jun 5, 2018	ClusteringGraph Clustering	CodeCode Available	5
ClusterFuG: Clustering Fully connected Graphs by Multicut	Jan 28, 2023	ClusteringGraph Clustering	CodeCode Available	5
Learning-based Efficient Graph Similarity Computation via Multi-Scale Convolutional Set Matching	Sep 10, 2018	ClusteringCombinatorial Optimization	CodeCode Available	5
Approximate spectral clustering density-based similarity for noisy datasets	Feb 22, 2023	ClusteringGraph Clustering	CodeCode Available	5
CLEAR: A Consistent Lifting, Embedding, and Alignment Rectification Algorithm for Multi-View Data Association	Feb 6, 2019	ClusteringGraph Clustering	CodeCode Available	5
Incorporating User's Preference into Attributed Graph Clustering	Mar 24, 2020	AttributeClustering	CodeCode Available	5
Correlation Clustering Algorithm for Dynamic Complete Signed Graphs: An Index-based Approach	Jan 1, 2023	ClusteringGraph Clustering	CodeCode Available	5
Local Algorithms for Finding Densely Connected Clusters	Jun 9, 2021	ClusteringGraph Clustering	CodeCode Available	5

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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