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A Survey of Deep Graph Clustering: Taxonomy, Challenge, Application, and
  Open Resource

A Survey of Deep Graph Clustering: Taxonomy, Challenge, Application, and Open Resource

23 November 2022
Yue Liu
Jun Xia
Sihang Zhou
Xihong Yang
K. Liang
Chenchen Fan
Zhuang Yan
Stan Z. Li
Xinwang Liu
Kunlun He
    OOD
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Papers citing "A Survey of Deep Graph Clustering: Taxonomy, Challenge, Application, and Open Resource"

42 / 42 papers shown
Title
THESAURUS: Contrastive Graph Clustering by Swapping Fused Gromov-Wasserstein Couplings
THESAURUS: Contrastive Graph Clustering by Swapping Fused Gromov-Wasserstein Couplings
Bowen Deng
Tong Wang
Lele Fu
Sheng Huang
Chuan Chen
Tao Zhang
134
1
0
17 Feb 2025
CARL-G: Clustering-Accelerated Representation Learning on Graphs
CARL-G: Clustering-Accelerated Representation Learning on Graphs
William Shiao
Uday Singh Saini
Yozen Liu
Tong Zhao
Neil Shah
Evangelos E. Papalexakis
SSL
OOD
67
7
0
12 Jun 2023
Multiple Kernel Clustering with Dual Noise Minimization
Multiple Kernel Clustering with Dual Noise Minimization
Junpu Zhang
Liang Li
Siwei Wang
Jiyuan Liu
Yue Liu
Xinwang Liu
En Zhu
50
24
0
13 Jul 2022
Local Sample-weighted Multiple Kernel Clustering with Consensus
  Discriminative Graph
Local Sample-weighted Multiple Kernel Clustering with Consensus Discriminative Graph
Liangchi Li
Siwei Wang
Xinwang Liu
En Zhu
Li Shen
KenLi Li
Keqin Li
94
46
0
05 Jul 2022
Mixed Graph Contrastive Network for Semi-Supervised Node Classification
Mixed Graph Contrastive Network for Semi-Supervised Node Classification
Xihong Yang
Yue Liu
Sihang Zhou
Xinwang Liu
En Zhu
Sihang Zhou
Xinwang Liu
En Zhu
SSL
69
29
0
06 Jun 2022
Simple Contrastive Graph Clustering
Simple Contrastive Graph Clustering
Yue Liu
Xihong Yang
Sihang Zhou
Xinwang Liu
GNN
66
116
0
11 May 2022
Unsupervised Network Embedding Beyond Homophily
Unsupervised Network Embedding Beyond Homophily
Zhiqiang Zhong
Guadalupe Gonzalez
Daniele Grattarola
Jun Pang
OODD
GNN
63
6
0
21 Mar 2022
Improved Dual Correlation Reduction Network
Improved Dual Correlation Reduction Network
Yue Liu
Sihang Zhou
Xinwang Liu
Wenxuan Tu
Xihong Yang
45
22
0
25 Feb 2022
Interpolation-based Contrastive Learning for Few-Label Semi-Supervised
  Learning
Interpolation-based Contrastive Learning for Few-Label Semi-Supervised Learning
Xihong Yang
Xiaochang Hu
Sihang Zhou
Xinwang Liu
En Zhu
SSL
275
44
0
24 Feb 2022
Ada-NETS: Face Clustering via Adaptive Neighbour Discovery in the
  Structure Space
Ada-NETS: Face Clustering via Adaptive Neighbour Discovery in the Structure Space
Yaohua Wang
Yaobin Zhang
Fangyi Zhang
Ming-Ching Lin
Yuqi Zhang
Senzhang Wang
Xiuyu Sun
CVBM
43
29
0
08 Feb 2022
Intent Contrastive Learning for Sequential Recommendation
Intent Contrastive Learning for Sequential Recommendation
Yong-Guang Chen
Zhiwei Liu
Jia Li
Julian McAuley
Caiming Xiong
68
302
0
05 Feb 2022
Augmentation-Free Self-Supervised Learning on Graphs
Augmentation-Free Self-Supervised Learning on Graphs
Namkyeong Lee
Junseok Lee
Chanyoung Park
98
206
0
05 Dec 2021
Multi-view Contrastive Graph Clustering
Multi-view Contrastive Graph Clustering
Erlin Pan
Zhao Kang
40
197
0
22 Oct 2021
Self-supervised Contrastive Attributed Graph Clustering
Self-supervised Contrastive Attributed Graph Clustering
Wei Xia
Quanxue Gao
Ming Yang
Xinbo Gao
SSL
100
30
0
15 Oct 2021
ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning
ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning
Jun Xia
Lirong Wu
Ge Wang
Jintao Chen
Stan Z. Li
54
121
0
05 Oct 2021
An Empirical Study of Graph Contrastive Learning
An Empirical Study of Graph Contrastive Learning
Yanqiao Zhu
Yichen Xu
Qiang Liu
Shu Wu
53
172
0
02 Sep 2021
Rethinking Graph Auto-Encoder Models for Attributed Graph Clustering
Rethinking Graph Auto-Encoder Models for Attributed Graph Clustering
Nairouz Mrabah
Mohamed Bouguessa
M. Touati
Riadh Ksantini
64
63
0
19 Jul 2021
A Comprehensive Survey on Graph Anomaly Detection with Deep Learning
A Comprehensive Survey on Graph Anomaly Detection with Deep Learning
Xiaoxiao Ma
Hongzhi Zhang
Shan Xue
Jian Yang
Chuan Zhou
Quan Z. Sheng
Hui Xiong
Leman Akoglu
GNN
AI4TS
73
552
0
14 Jun 2021
A Comprehensive Survey on Community Detection with Deep Learning
A Comprehensive Survey on Community Detection with Deep Learning
Xing Su
Shan Xue
Fanzhen Liu
Hongzhi Zhang
Jian Yang
...
Cécile Paris
Surya Nepal
Di Jin
Quan Z. Sheng
Philip S. Yu
GNN
49
332
0
26 May 2021
Self-supervised Heterogeneous Graph Neural Network with Co-contrastive
  Learning
Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning
Xiao Wang
Nian Liu
Hui-jun Han
C. Shi
SSL
56
388
0
19 May 2021
Graph Contrastive Clustering
Graph Contrastive Clustering
Huasong Zhong
Jianlong Wu
Chong Chen
Jianqiang Huang
Minghua Deng
Liqiang Nie
Zhouchen Lin
Xiansheng Hua
40
113
0
03 Apr 2021
Barlow Twins: Self-Supervised Learning via Redundancy Reduction
Barlow Twins: Self-Supervised Learning via Redundancy Reduction
Jure Zbontar
Li Jing
Ishan Misra
Yann LeCun
Stéphane Deny
SSL
265
2,337
0
04 Mar 2021
Graph Self-Supervised Learning: A Survey
Graph Self-Supervised Learning: A Survey
Yixin Liu
Ming Jin
Shirui Pan
Chuan Zhou
Yu Zheng
Feng Xia
Philip S. Yu
SSL
77
560
0
27 Feb 2021
Learning on Attribute-Missing Graphs
Learning on Attribute-Missing Graphs
Xu Chen
Siheng Chen
Jiangchao Yao
Huangjie Zheng
Ya Zhang
Ivor W Tsang
81
94
0
03 Nov 2020
Dirichlet Graph Variational Autoencoder
Dirichlet Graph Variational Autoencoder
Jia Li
Tomas Yu
Jiajin Li
Honglei Zhang
Kangfei Zhao
Yu Rong
Hong Cheng
Junzhou Huang
BDL
41
52
0
09 Oct 2020
Adaptive Graph Encoder for Attributed Graph Embedding
Adaptive Graph Encoder for Attributed Graph Embedding
Ganqu Cui
Jie Zhou
Cheng Yang
Zhiyuan Liu
118
221
0
03 Jul 2020
Bootstrap your own latent: A new approach to self-supervised Learning
Bootstrap your own latent: A new approach to self-supervised Learning
Jean-Bastien Grill
Florian Strub
Florent Altché
Corentin Tallec
Pierre Harvey Richemond
...
M. G. Azar
Bilal Piot
Koray Kavukcuoglu
Rémi Munos
Michal Valko
SSL
323
6,770
0
13 Jun 2020
Contrastive Multi-View Representation Learning on Graphs
Contrastive Multi-View Representation Learning on Graphs
Kaveh Hassani
Amir Hosein Khas Ahmadi
SSL
211
1,299
0
10 Jun 2020
Open Graph Benchmark: Datasets for Machine Learning on Graphs
Open Graph Benchmark: Datasets for Machine Learning on Graphs
Weihua Hu
Matthias Fey
Marinka Zitnik
Yuxiao Dong
Hongyu Ren
Bowen Liu
Michele Catasta
J. Leskovec
269
2,719
0
02 May 2020
Structural Deep Clustering Network
Structural Deep Clustering Network
Deyu Bo
Xiao Wang
C. Shi
Meiqi Zhu
Emiao Lu
Peng Cui
GNN
66
492
0
05 Feb 2020
Self-Supervised Learning by Cross-Modal Audio-Video Clustering
Self-Supervised Learning by Cross-Modal Audio-Video Clustering
Humam Alwassel
D. Mahajan
Bruno Korbar
Lorenzo Torresani
Guohao Li
Du Tran
SSL
85
430
0
28 Nov 2019
Momentum Contrast for Unsupervised Visual Representation Learning
Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross B. Girshick
SSL
149
12,050
0
13 Nov 2019
Evaluation Metrics for Unsupervised Learning Algorithms
Evaluation Metrics for Unsupervised Learning Algorithms
Julio-Omar Palacio-Niño
Fernando Berzal Galiano
29
116
0
14 May 2019
Linkage Based Face Clustering via Graph Convolution Network
Linkage Based Face Clustering via Graph Convolution Network
Zhongdao Wang
Liang Zheng
Yali Li
Shengjin Wang
3DH
CVBM
GNN
42
176
0
27 Mar 2019
CommunityGAN: Community Detection with Generative Adversarial Nets
CommunityGAN: Community Detection with Generative Adversarial Nets
Yuting Jia
Qinqin Zhang
Weinan Zhang
Xinbing Wang
GNN
GAN
49
116
0
20 Jan 2019
Clustering with Deep Learning: Taxonomy and New Methods
Clustering with Deep Learning: Taxonomy and New Methods
Elie Aljalbout
Vladimir Golkov
Yawar Siddiqui
Maximilian Strobel
Daniel Cremers
54
241
0
23 Jan 2018
A Brief Survey of Deep Reinforcement Learning
A Brief Survey of Deep Reinforcement Learning
Kai Arulkumaran
M. Deisenroth
Miles Brundage
Anil Anthony Bharath
OffRL
106
2,805
0
19 Aug 2017
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
442
15,179
0
07 Jun 2017
Towards Robust Deep Neural Networks with BANG
Towards Robust Deep Neural Networks with BANG
Andras Rozsa
Manuel Günther
Terrance E. Boult
AAML
OOD
48
76
0
01 Dec 2016
Unsupervised Deep Embedding for Clustering Analysis
Unsupervised Deep Embedding for Clustering Analysis
Junyuan Xie
Ross B. Girshick
Ali Farhadi
SSL
79
2,865
0
19 Nov 2015
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence
  Modeling
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
Junyoung Chung
Çağlar Gülçehre
Kyunghyun Cho
Yoshua Bengio
422
12,680
0
11 Dec 2014
A Tutorial on Spectral Clustering
A Tutorial on Spectral Clustering
U. V. Luxburg
248
10,522
0
01 Nov 2007
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