Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1901.01250
Cited By
v1
v2 (latest)
Learning Graph Embedding with Adversarial Training Methods
4 January 2019
Shirui Pan
Ruiqi Hu
S. Fung
Guodong Long
Jing Jiang
Chengqi Zhang
GNN
GAN
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Learning Graph Embedding with Adversarial Training Methods"
50 / 78 papers shown
Title
Attention Beyond Neighborhoods: Reviving Transformer for Graph Clustering
Xuanting Xie
Bingheng Li
Erlin Pan
Rui Hou
Wenyu Chen
Zhao Kang
GNN
152
0
0
18 Sep 2025
Aggregation-aware MLP: An Unsupervised Approach for Graph Message-passing
Xuanting Xie
Bingheng Li
Erlin Pan
Zhao Kang
Wenyu Chen
97
0
0
27 Jul 2025
GCL-GCN: Graphormer and Contrastive Learning Enhanced Attributed Graph Clustering Network
Binxiong Li
Xu Xiang
Xue Li
Binyu Zhao
Yujie Liu
Huijie Tang
Benhan Yang
Zhixuan Chen
109
0
0
25 Jul 2025
Divide-Then-Rule: A Cluster-Driven Hierarchical Interpolator for Attribute-Missing Graphs
Yaowen Hu
Wenxuan Tu
Yue Liu
Miaomiao Li
Wenpeng Lu
Zhigang Luo
Xinwang Liu
Ping Chen
113
0
0
12 Jul 2025
Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation
Yaowen Hu
Wenxuan Tu
Yue Liu
Xinhang Wan
Junyi Yan
Taichun Zhou
Xinwang Liu
173
0
0
09 Jul 2025
Discrepancy-Aware Graph Mask Auto-Encoder
Ziyu Zheng
Yaming Yang
Ziyu Guan
Wei Zhao
Weigang Lu
193
1
0
24 Jun 2025
Deep Cut-informed Graph Embedding and Clustering
Information Fusion (Inf. Fusion), 2025
Zhiyuan Ning
Zaitian Wang
Ran Zhang
Ping Xu
Kunpeng Liu
...
Chong Chen
Pengfei Wang
Yuanchun Zhou
Erik Cambria
Chong Chen
GNN
382
10
0
09 Mar 2025
GraphSparseNet: a Novel Method for Large Scale Traffic Flow Prediction
Proceedings of the VLDB Endowment (PVLDB), 2025
Weiyang Kong
Kaiqi Wu
Sen Zhang
Yubao Liu
AI4TS
GNN
276
4
0
27 Feb 2025
Graph Perceiver IO: A General Architecture for Graph Structured Data
Pattern Recognition (Pattern Recogn.), 2022
Seyun Bae
Hoyoon Byun
Changdae Oh
Yoon-Sik Cho
Kyungwoo Song
GNN
338
3
0
24 Feb 2025
Recent Advances in Malware Detection: Graph Learning and Explainability
Hossein Shokouhinejad
Roozbeh Razavi-Far
Hesamodin Mohammadian
Mahdi Rabbani
Samuel Ansong
Griffin Higgins
Ali Ghorbani
AAML
436
8
0
14 Feb 2025
CDC: A Simple Framework for Complex Data Clustering
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024
Zhao Kang
Xuanting Xie
Bingheng Li
Erlin Pan
408
37
0
10 Jan 2025
GraphMU: Repairing Robustness of Graph Neural Networks via Machine Unlearning
Tao Wu
Xinwen Cao
Chao Wang
Shaojie Qiao
Xingping Xian
Lin Yuan
Canyixing Cui
Yanbing Liu
AAML
229
3
0
19 Jun 2024
HeNCler: Node Clustering in Heterophilous Graphs via Learned Asymmetric Similarity
Sonny Achten
Zander Op de Beeck
F. Tonin
Volkan Cevher
Johan A. K. Suykens
248
0
0
27 May 2024
Incorporating Higher-order Structural Information for Graph Clustering
Qiankun Li
Haobing Liu
Ruobing Jiang
Tingting Wang
GNN
280
4
0
17 Mar 2024
A Survey of Data-Efficient Graph Learning
Wei Ju
Siyu Yi
Yifan Wang
Qingqing Long
Junyu Luo
Zhiping Xiao
Ming Zhang
GNN
427
35
0
01 Feb 2024
Deep Manifold Graph Auto-Encoder for Attributed Graph Embedding
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Bozhen Hu
Z. Zang
Jun Xia
Lirong Wu
Cheng Tan
Stan Z. Li
GNN
147
3
0
12 Jan 2024
Data-Agnostic Model Poisoning against Federated Learning: A Graph Autoencoder Approach
IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2023
Kai Li
Jingjing Zheng
Xinnan Yuan
W. Ni
Ozgur B. Akan
H. Vincent Poor
AAML
193
27
0
30 Nov 2023
HDGL: A hierarchical dynamic graph representation learning model for brain disorder classification
Parniyan Jalali
M. Safayani
129
2
0
06 Nov 2023
Redundancy-Free Self-Supervised Relational Learning for Graph Clustering
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Si-Yu Yi
Wei Ju
Yifang Qin
Xiao Luo
Luchen Liu
Yong-Dao Zhou
Ming Zhang
233
33
0
09 Sep 2023
CONVERT:Contrastive Graph Clustering with Reliable Augmentation
ACM Multimedia (ACM MM), 2023
Xihong Yang
Cheng Tan
Yue Liu
K. Liang
Siwei Wang
Sihang Zhou
Jun Xia
Stan Z. Li
Xinwang Liu
En Zhu
183
66
0
17 Aug 2023
Self-Contrastive Graph Diffusion Network
ACM Multimedia (ACM MM), 2023
Yixuan Ma
Kun Zhan
130
8
0
27 Jul 2023
Beyond Homophily: Reconstructing Structure for Graph-agnostic Clustering
International Conference on Machine Learning (ICML), 2023
Erlin Pan
Zhao Kang
133
58
0
03 May 2023
NESS: Node Embeddings from Static SubGraphs
Talip Uçar
162
5
0
15 Mar 2023
Revisiting Initializing Then Refining: An Incomplete and Missing Graph Imputation Network
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Wenxuan Tu
Bin Xiao
Xinwang Liu
Sihang Zhou
Zhiping Cai
Jieren Cheng
154
17
0
15 Feb 2023
Self-Supervised Temporal Graph learning with Temporal and Structural Intensity Alignment
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Meng Liu
K. Liang
Bin Xiao
Wenxuan Tu
Sihang Zhou
Xihong Yang
Xinwang Liu
Yue Liu
246
99
0
15 Feb 2023
USER: Unsupervised Structural Entropy-based Robust Graph Neural Network
AAAI Conference on Artificial Intelligence (AAAI), 2023
Yifei Wang
Yupan Wang
Zeyu Zhang
Song Yang
Kaiqi Zhao
Jiamou Liu
OOD
76
8
0
12 Feb 2023
Cluster-guided Contrastive Graph Clustering Network
AAAI Conference on Artificial Intelligence (AAAI), 2023
Xihong Yang
Yue Liu
Sihang Zhou
Siwei Wang
Wenxuan Tu
Qun Zheng
Xinwang Liu
Liming Fang
En Zhu
252
145
0
03 Jan 2023
Hard Sample Aware Network for Contrastive Deep Graph Clustering
AAAI Conference on Artificial Intelligence (AAAI), 2022
Yue Liu
Xihong Yang
Sihang Zhou
Xinwang Liu
Zhen Wang
K. Liang
Wenxuan Tu
Liangjun Li
Jingcan Duan
Cancan Chen
245
150
0
16 Dec 2022
Interpretable Node Representation with Attribute Decoding
Xiaohui Chen
Xi Chen
Liping Liu
174
4
0
03 Dec 2022
EGRC-Net: Embedding-induced Graph Refinement Clustering Network
IEEE Transactions on Image Processing (IEEE TIP), 2022
Zhihao Peng
Hui Liu
Yuheng Jia
Xianqiang Lyu
184
10
0
19 Nov 2022
GLCC: A General Framework for Graph-Level Clustering
AAAI Conference on Artificial Intelligence (AAAI), 2022
Wei Ju
Yiyang Gu
Binqi Chen
Gongbo Sun
Yifang Qin
Xing Liu
Xiao Luo
Ming Zhang
189
53
0
21 Oct 2022
NCAGC: A Neighborhood Contrast Framework for Attributed Graph Clustering
Neurocomputing (Neurocomputing), 2022
Tong Wang
Guanyu Yang
Qijia He
Zhenquan Zhang
Junhua Wu
138
9
0
16 Jun 2022
Unsupervised Deep Discriminant Analysis Based Clustering
Jinyu Cai
Wenzhong Guo
Jicong Fan
147
5
0
09 Jun 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
Proceedings of the IEEE (Proc. IEEE), 2022
He Zhang
Bang Wu
Lizhen Qu
Shirui Pan
Hanghang Tong
Jian Pei
292
147
0
16 May 2022
Simple Contrastive Graph Clustering
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Yue Liu
Xihong Yang
Sihang Zhou
Xinwang Liu
GNN
204
157
0
11 May 2022
Deep Graph Clustering via Mutual Information Maximization and Mixture Model
Knowledge and Information Systems (KAIS), 2022
Maedeh Ahmadi
M. Safayani
Abdolreza Mirzaei
189
8
0
10 May 2022
CGC: Contrastive Graph Clustering for Community Detection and Tracking
The Web Conference (WWW), 2022
Namyong Park
Ryan Rossi
Eunyee Koh
I. Burhanuddin
Sungchul Kim
F. Du
Nesreen Ahmed
Christos Faloutsos
134
44
0
05 Apr 2022
Improved Dual Correlation Reduction Network
Yue Liu
Sihang Zhou
Xinwang Liu
Wenxuan Tu
Xihong Yang
99
23
0
25 Feb 2022
Deep Graph Clustering via Dual Correlation Reduction
AAAI Conference on Artificial Intelligence (AAAI), 2021
Yue Liu
Wenxuan Tu
Sihang Zhou
Xinwang Liu
Linxuan Song
Xihong Yang
En Zhu
152
268
0
29 Dec 2021
Siamese Attribute-missing Graph Auto-encoder
Wenxuan Tu
Sihang Zhou
Yue Liu
Xinwang Liu
157
7
0
09 Dec 2021
Cyclic Graph Attentive Match Encoder (CGAME): A Novel Neural Network For OD Estimation
Guanzhou Li
Yujing He
Jianping Wu
Duowei Li
BDL
164
0
0
26 Nov 2021
Towards Graph Self-Supervised Learning with Contrastive Adjusted Zooming
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
Yizhen Zheng
Ming Jin
Shirui Pan
Yuan-Fang Li
Hao Peng
Ming Li
Zhao‐Rui Li
SSL
146
29
0
20 Nov 2021
Deep Attention-guided Graph Clustering with Dual Self-supervision
Zhihao Peng
Hui Liu
Yuheng Jia
Xianqiang Lyu
219
39
0
10 Nov 2021
GenURL: A General Framework for Unsupervised Representation Learning
Siyuan Li
Zicheng Liu
Z. Zang
Di Wu
Zhiyuan Chen
Stan Z. Li
OOD
3DGS
OffRL
248
11
0
27 Oct 2021
Self-supervised Contrastive Attributed Graph Clustering
Wei Xia
Quanxue Gao
Ming Yang
Xinbo Gao
SSL
228
46
0
15 Oct 2021
Latent Network Embedding via Adversarial Auto-encoders
Minglong Lei
Yong Shi
Lingfeng Niu
GNN
60
0
0
30 Sep 2021
ConTIG: Continuous Representation Learning on Temporal Interaction Graphs
Neural Networks (NN), 2021
Xu Yan
Xiaoliang Fan
Peizhen Yang
Zonghan Wu
Shirui Pan
Longbiao Chen
Yu Zang
Cheng-Yu Wang
160
6
0
27 Sep 2021
Graph Neural Networks: Methods, Applications, and Opportunities
Lilapati Waikhom
Ripon Patgiri
GNN
206
48
0
24 Aug 2021
Attention-driven Graph Clustering Network
ACM Multimedia (ACM MM), 2021
Zhihao Peng
Hui Liu
Yuheng Jia
Xianqiang Lyu
GNN
167
135
0
12 Aug 2021
Hyperparameter-free and Explainable Whole Graph Embedding
Hao Wang
Yue Deng
Linyuan Lu
Guanrong Chen
146
4
0
04 Aug 2021
1
2
Next