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Attributed Graph Clustering: A Deep Attentional Embedding Approach

Attributed Graph Clustering: A Deep Attentional Embedding Approach

15 June 2019
Chun Wang
Shirui Pan
Ruiqi Hu
Guodong Long
Jing Jiang
Chengqi Zhang
    GNN
ArXivPDFHTML

Papers citing "Attributed Graph Clustering: A Deep Attentional Embedding Approach"

50 / 52 papers shown
Title
Deep Cut-informed Graph Embedding and Clustering
Deep Cut-informed Graph Embedding and Clustering
Zhiyuan Ning
Zaitian Wang
Ran Zhang
Ping Xu
Kunpeng Liu
...
Chong Chen
Pengfei Wang
Yuanchun Zhou
Erik Cambria
Chong Chen
GNN
76
3
0
09 Mar 2025
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
87
0
0
17 Feb 2025
CDC: A Simple Framework for Complex Data Clustering
CDC: A Simple Framework for Complex Data Clustering
Zhao Kang
Xuanting Xie
Bingheng Li
Erlin Pan
89
8
0
10 Jan 2025
Federated Temporal Graph Clustering
Federated Temporal Graph Clustering
Yang Liu
Zhenhong Zhou
Xianghong Xu
Yue Liu
FedML
79
0
0
16 Oct 2024
Synergistic Deep Graph Clustering Network
Synergistic Deep Graph Clustering Network
Benyu Wu
Shifei Ding
Xiao Xu
Lili Guo
Ling Ding
Xindong Wu
38
0
0
22 Jun 2024
Federated Incomplete Multi-View Clustering with Heterogeneous Graph
  Neural Networks
Federated Incomplete Multi-View Clustering with Heterogeneous Graph Neural Networks
Xueming Yan
Ziqi Wang
Yaochu Jin
FedML
36
0
0
12 Jun 2024
Incorporating Higher-order Structural Information for Graph Clustering
Incorporating Higher-order Structural Information for Graph Clustering
Qiankun Li
Haobing Liu
Ruobing Jiang
Tingting Wang
GNN
18
2
0
17 Mar 2024
Personalized Negative Reservoir for Incremental Learning in Recommender Systems
Personalized Negative Reservoir for Incremental Learning in Recommender Systems
Antonios Valkanas
Yuening Wang
Yingxue Zhang
Mark J. Coates
CLL
48
1
0
06 Mar 2024
Learning Persistent Community Structures in Dynamic Networks via
  Topological Data Analysis
Learning Persistent Community Structures in Dynamic Networks via Topological Data Analysis
Dexu Kong
Anping Zhang
Yang Li
44
1
0
06 Jan 2024
Incomplete Contrastive Multi-View Clustering with High-Confidence
  Guiding
Incomplete Contrastive Multi-View Clustering with High-Confidence Guiding
Guoqing Chao
Yi Jiang
Dianhui Chu
39
44
0
14 Dec 2023
Unsupervised Graph Attention Autoencoder for Attributed Networks using
  K-means Loss
Unsupervised Graph Attention Autoencoder for Attributed Networks using K-means Loss
Abdelfateh Bekkair
Slimane Bellaouar
Slimane Oulad-Naoui
21
0
0
21 Nov 2023
Unsupervised Learning via Network-Aware Embeddings
Unsupervised Learning via Network-Aware Embeddings
Anne Sophie Riis Damstrup
Sofie Tosti Madsen
Michele Coscia
SSL
43
0
0
19 Sep 2023
UNICON: A unified framework for behavior-based consumer segmentation in
  e-commerce
UNICON: A unified framework for behavior-based consumer segmentation in e-commerce
Manuel Dibak
Vladimir Vlasov
Nour Karessli
Darya Dedik
E. Malykh
Jacek Wasilewski
T. Torres
Ana Peleteiro Ramallo
AI4TS
26
1
0
18 Sep 2023
Deep Temporal Graph Clustering
Deep Temporal Graph Clustering
Meng Liu
Yue Liu
K. Liang
Wenxuan Tu
Siwei Wang
Sihang Zhou
Xinwang Liu
35
48
0
18 May 2023
Contrastive Graph Clustering in Curvature Spaces
Contrastive Graph Clustering in Curvature Spaces
Li Sun
Feiyang Wang
Junda Ye
Hao Peng
Philip S. Yu
32
17
0
05 May 2023
USER: Unsupervised Structural Entropy-based Robust Graph Neural Network
USER: Unsupervised Structural Entropy-based Robust Graph Neural Network
Yifei Wang
Yupan Wang
Zeyu Zhang
Song Yang
Kaiqi Zhao
Jiamou Liu
OOD
27
4
0
12 Feb 2023
Friend-training: Learning from Models of Different but Related Tasks
Friend-training: Learning from Models of Different but Related Tasks
Mian Zhang
Lifeng Jin
Linfeng Song
Haitao Mi
Xiabing Zhou
Dong Yu
VLM
40
0
0
31 Jan 2023
Cluster-guided Contrastive Graph Clustering Network
Cluster-guided Contrastive Graph Clustering Network
Xihong Yang
Yue Liu
Sihang Zhou
Siwei Wang
Wenxuan Tu
Qun Zheng
Xinwang Liu
Liming Fang
En Zhu
42
91
0
03 Jan 2023
Hard Sample Aware Network for Contrastive Deep Graph Clustering
Hard Sample Aware Network for Contrastive Deep Graph Clustering
Yue Liu
Xihong Yang
Sihang Zhou
Xinwang Liu
Zhen Wang
K. Liang
Wenxuan Tu
Liangjun Li
Jingcan Duan
Cancan Chen
33
101
0
16 Dec 2022
Rethinking the positive role of cluster structure in complex networks
  for link prediction tasks
Rethinking the positive role of cluster structure in complex networks for link prediction tasks
Shan-Shan Zhang
Wenjiao Zhang
Zhan Bu
19
0
0
04 Nov 2022
Graph Fuzzy System: Concepts, Models and Algorithms
Graph Fuzzy System: Concepts, Models and Algorithms
F. Hu
Zhaohong Deng
Zhenping Xie
K. Choi
Shitong Wang
29
1
0
30 Oct 2022
Online Cross-Layer Knowledge Distillation on Graph Neural Networks with
  Deep Supervision
Online Cross-Layer Knowledge Distillation on Graph Neural Networks with Deep Supervision
Jiongyu Guo
Defang Chen
Can Wang
22
3
0
25 Oct 2022
GLCC: A General Framework for Graph-Level Clustering
GLCC: A General Framework for Graph-Level Clustering
Wei Ju
Yiyang Gu
Binqi Chen
Gongbo Sun
Yifang Qin
Xing Liu
Xiao Luo
Ming Zhang
39
41
0
21 Oct 2022
Variational Graph Generator for Multi-View Graph Clustering
Variational Graph Generator for Multi-View Graph Clustering
Jianpeng Chen
Yawen Ling
Jie Xu
Yazhou Ren
Shudong Huang
X. Pu
Zhifeng Hao
Philip S. Yu
Lifang He
38
5
0
13 Oct 2022
Deep Clustering: A Comprehensive Survey
Deep Clustering: A Comprehensive Survey
Yazhou Ren
Jingyu Pu
Zhimeng Yang
Jie Xu
Guofeng Li
X. Pu
Philip S. Yu
Lifang He
HAI
43
100
0
09 Oct 2022
Efficient block contrastive learning via parameter-free meta-node
  approximation
Efficient block contrastive learning via parameter-free meta-node approximation
Gayan K. Kulatilleke
Marius Portmann
Shekhar S. Chandra
29
3
0
28 Sep 2022
High-order Multi-view Clustering for Generic Data
High-order Multi-view Clustering for Generic Data
Erlin Pan
Zhao Kang
40
37
0
22 Sep 2022
NAFS: A Simple yet Tough-to-beat Baseline for Graph Representation
  Learning
NAFS: A Simple yet Tough-to-beat Baseline for Graph Representation Learning
Wentao Zhang
Zeang Sheng
Mingyu Yang
Yang Li
Yu Shen
Zhi-Xin Yang
Bin Cui
AAML
31
16
0
17 Jun 2022
SCGC : Self-Supervised Contrastive Graph Clustering
SCGC : Self-Supervised Contrastive Graph Clustering
Gayan K. Kulatilleke
Marius Portmann
Shekhar S. Chandra
39
8
0
27 Apr 2022
Improved Dual Correlation Reduction Network
Improved Dual Correlation Reduction Network
Yue Liu
Sihang Zhou
Xinwang Liu
Wenxuan Tu
Xihong Yang
26
22
0
25 Feb 2022
Frame Shift Prediction
Frame Shift Prediction
Zheng-Xin Yong
Patrick Watson
Tiago Timponi Torrent
Oliver Czulo
Collin F. Baker
32
2
0
05 Jan 2022
Scalable Deep Graph Clustering with Random-walk based Self-supervised
  Learning
Scalable Deep Graph Clustering with Random-walk based Self-supervised Learning
Xiang Li
Dong Li
R. Jin
G. Agrawal
R. Ramnath
GNN
27
4
0
31 Dec 2021
Deep Graph Clustering via Dual Correlation Reduction
Deep Graph Clustering via Dual Correlation Reduction
Yue Liu
Wenxuan Tu
Sihang Zhou
Xinwang Liu
Linxuan Song
Xihong Yang
En Zhu
22
202
0
29 Dec 2021
Multilayer Graph Contrastive Clustering Network
Multilayer Graph Contrastive Clustering Network
Liang Liu
Zhao Kang
Ling Tian
Wenbo Xu
Xixu He
13
15
0
28 Dec 2021
Incomplete Multi-view Clustering via Cross-view Relation Transfer
Incomplete Multi-view Clustering via Cross-view Relation Transfer
Yiming Wang
Dongxia Chang
Zhiqiang Fu
Yao Zhao
13
27
0
01 Dec 2021
Barlow Graph Auto-Encoder for Unsupervised Network Embedding
Barlow Graph Auto-Encoder for Unsupervised Network Embedding
R. A. Khan
M. Kleinsteuber
SSL
25
3
0
29 Oct 2021
Self-supervised Contrastive Attributed Graph Clustering
Self-supervised Contrastive Attributed Graph Clustering
Wei Xia
Quanxue Gao
Ming Yang
Xinbo Gao
SSL
63
29
0
15 Oct 2021
X-GOAL: Multiplex Heterogeneous Graph Prototypical Contrastive Learning
X-GOAL: Multiplex Heterogeneous Graph Prototypical Contrastive Learning
Baoyu Jing
Shengyu Feng
Yuejia Xiang
Xi Chen
Yu Chen
Hanghang Tong
41
28
0
08 Sep 2021
Pointspectrum: Equivariance Meets Laplacian Filtering for Graph
  Representation Learning
Pointspectrum: Equivariance Meets Laplacian Filtering for Graph Representation Learning
Marinos Poiitis
Pavlos Sermpezis
Athena Vakali
31
0
0
06 Sep 2021
Attention-driven Graph Clustering Network
Attention-driven Graph Clustering Network
Zhihao Peng
Hui Liu
Yuheng Jia
Junhui Hou
GNN
35
102
0
12 Aug 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
35
63
0
19 Jul 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
Jia Wu
Jian Yang
...
Cécile Paris
Surya Nepal
Di Jin
Quan Z. Sheng
Philip S. Yu
GNN
22
321
0
26 May 2021
Variational Co-embedding Learning for Attributed Network Clustering
Variational Co-embedding Learning for Attributed Network Clustering
Shuiqiao Yang
Sunny Verma
Borui Cai
Jiaojiao Jiang
Kun Yu
Fang Chen
Shui Yu
32
30
0
15 Apr 2021
Learning Graph Neural Networks with Positive and Unlabeled Nodes
Learning Graph Neural Networks with Positive and Unlabeled Nodes
Man Wu
Shirui Pan
Lan Du
Xingquan Zhu
27
33
0
08 Mar 2021
Interpreting and Unifying Graph Neural Networks with An Optimization
  Framework
Interpreting and Unifying Graph Neural Networks with An Optimization Framework
Meiqi Zhu
Xiao Wang
C. Shi
Houye Ji
Peng Cui
AI4CE
54
198
0
28 Jan 2021
Smoothness Sensor: Adaptive Smoothness-Transition Graph Convolutions for
  Attributed Graph Clustering
Smoothness Sensor: Adaptive Smoothness-Transition Graph Convolutions for Attributed Graph Clustering
Chaojie Ji
Hongwei Chen
Ruxin Wang
Yunpeng Cai
Hongyan Wu
17
12
0
12 Sep 2020
Graph Convolutional Networks for Graphs Containing Missing Features
Graph Convolutional Networks for Graphs Containing Missing Features
Hibiki Taguchi
Xin Liu
T. Murata
GNN
33
84
0
09 Jul 2020
Adaptive Graph Encoder for Attributed Graph Embedding
Adaptive Graph Encoder for Attributed Graph Embedding
Ganqu Cui
Jie Zhou
Cheng Yang
Zhiyuan Liu
22
219
0
03 Jul 2020
Graph Clustering with Graph Neural Networks
Graph Clustering with Graph Neural Networks
Anton Tsitsulin
John Palowitch
Bryan Perozzi
Emmanuel Müller
GNN
AI4CE
25
259
0
30 Jun 2020
Adaptive Graph Convolutional Network with Attention Graph Clustering for
  Co-saliency Detection
Adaptive Graph Convolutional Network with Attention Graph Clustering for Co-saliency Detection
Kaihua Zhang
Tengpeng Li
Shiwen Shen
Bo Liu
Jin Chen
Qingshan Liu
27
96
0
13 Mar 2020
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