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 276–300 of 393 papers

Title	Date	Tasks	Status	Hype
Subspace Structure-Aware Spectral Clustering for Robust Subspace Clustering	Oct 1, 2019	ClusteringGraph Clustering	—Unverified	0
Predicting Alzheimer's Disease by Hierarchical Graph Convolution from Positron Emission Tomography Imaging	Oct 1, 2019	ClusteringGraph Clustering	—Unverified	0
Correlation Clustering with Same-Cluster Queries Bounded by Optimal Cost	Aug 14, 2019	ClusteringGraph Clustering	CodeCode Available	0
RWR-GAE: Random Walk Regularization for Graph Auto Encoders	Aug 12, 2019	ClusteringGraph Clustering	CodeCode Available	0
Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning	Aug 7, 2019	ClusteringDecoder	CodeCode Available	0
Hermitian matrices for clustering directed graphs: insights and applications	Aug 6, 2019	ClusteringGraph Clustering	—Unverified	0
Improving Social Awareness Through DANTE: A Deep Affinity Network for Clustering Conversational Interactants	Jul 24, 2019	ClusteringGraph Clustering	CodeCode Available	0
Spectral Clustering with Graph Neural Networks for Graph Pooling	Jun 30, 2019	ClusteringGraph Classification	CodeCode Available	1
Attributed Graph Clustering: A Deep Attentional Embedding Approach	Jun 15, 2019	ClusteringDecoder	CodeCode Available	0
Statistical guarantees for local graph clustering	Jun 11, 2019	ClusteringGraph Clustering	—Unverified	0
Attributed Graph Clustering via Adaptive Graph Convolution	Jun 4, 2019	ClusteringCommunity Detection	CodeCode Available	0
L2F/INESC-ID at SemEval-2019 Task 2: Unsupervised Lexical Semantic Frame Induction using Contextualized Word Representations	Jun 1, 2019	ClusteringGraph Clustering	—Unverified	0
Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks	May 20, 2019	ClusteringComputational Efficiency	CodeCode Available	1
Clustering-aware Graph Construction: A Joint Learning Perspective	May 4, 2019	ClusteringGraph Clustering	—Unverified	0
Neighbor Similarity Based Agglomerative Method for Community Detection in Networks	May 2, 2019	Community DetectionGraph Clustering	—Unverified	0
DEEP GEOMETRICAL GRAPH CLASSIFICATION	May 1, 2019	ClassificationClustering	—Unverified	0
Discrete Optimal Graph Clustering	Apr 25, 2019	ClusteringGraph Clustering	CodeCode Available	0
Community Detection and Growth Potential Prediction Using the Stochastic Block Model and the Long Short-term Memory from Patent Citation Networks	Apr 23, 2019	ClusteringCommunity Detection	—Unverified	0
Simultaneous Dimensionality and Complexity Model Selection for Spectral Graph Clustering	Apr 5, 2019	ClusteringGraph Clustering	CodeCode Available	0
An Internal Validity Index Based on Density-Involved Distance	Mar 22, 2019	ClusteringClustering Algorithms Evaluation	CodeCode Available	0
Ensemble Clustering for Graphs: Comparisons and Applications	Mar 19, 2019	Anomaly DetectionClustering	CodeCode Available	0
Learning Resolution Parameters for Graph Clustering	Mar 12, 2019	ClusteringGraph Clustering	CodeCode Available	0
A Review of Stochastic Block Models and Extensions for Graph Clustering	Mar 1, 2019	ClusteringGraph Clustering	—Unverified	0
Computing Nonlinear Eigenfunctions via Gradient Flow Extinction	Feb 27, 2019	BIG-bench Machine LearningClustering	—Unverified	0
Unsupervised Network Embedding for Graph Visualization, Clustering and Classification	Feb 25, 2019	ClassificationClustering	CodeCode Available	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