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2012.02486
Cited By
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Unsupervised Adversarially-Robust Representation Learning on Graphs
AAAI Conference on Artificial Intelligence (AAAI), 2020
4 December 2020
Jiarong Xu
Yang Yang
Junru Chen
Chunping Wang
Xin Jiang
Jiangang Lu
Luke Huan
SSL
AAML
OOD
Re-assign community
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Papers citing
"Unsupervised Adversarially-Robust Representation Learning on Graphs"
15 / 15 papers shown
Can Graph Neural Networks Expose Training Data Properties? An Efficient Risk Assessment Approach
Neural Information Processing Systems (NeurIPS), 2024
Hanyang Yuan
Jiarong Xu
Renhong Huang
Mingli Song
Chunping Wang
Yang Yang
AAML
219
3
0
06 Nov 2024
Can Modifying Data Address Graph Domain Adaptation?
Knowledge Discovery and Data Mining (KDD), 2024
Renhong Huang
Jiarong Xu
Xin Jiang
Ruichuan An
Yang Yang
OOD
354
11
0
27 Jul 2024
Unveiling Privacy Vulnerabilities: Investigating the Role of Structure in Graph Data
Hanyang Yuan
Jiarong Xu
Cong Wang
Ziqi Yang
Chunping Wang
Keting Yin
Yang Yang
287
7
0
26 Jul 2024
Transferable Watermarking to Self-supervised Pre-trained Graph Encoders by Trigger Embeddings
International Workshop on Information Forensics and Security (WIFS), 2024
Xiangyu Zhao
Hanzhou Wu
Xinpeng Zhang
191
3
0
19 Jun 2024
Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks
Neural Information Processing Systems (NeurIPS), 2023
Jiarong Xu
Renhong Huang
Xin Jiang
Yuxuan Cao
Carl Yang
Chunping Wang
Yang Yang
AI4CE
486
22
0
02 Nov 2023
Semi-supervised Domain Adaptation in Graph Transfer Learning
International Joint Conference on Artificial Intelligence (IJCAI), 2023
Ziyue Qiao
Xiao Luo
Meng Xiao
Hao Dong
Yuanchun Zhou
Hui Xiong
OOD
294
37
0
19 Sep 2023
Robust Graph Contrastive Learning with Information Restoration
IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2023
Yulin Zhu
Xing Ai
Yevgeniy Vorobeychik
Wei Song
AAML
276
0
0
24 Jul 2023
Similarity Preserving Adversarial Graph Contrastive Learning
Knowledge Discovery and Data Mining (KDD), 2023
Yeonjun In
Kanghoon Yoon
Chanyoung Park
AAML
214
14
0
24 Jun 2023
Are Defenses for Graph Neural Networks Robust?
Neural Information Processing Systems (NeurIPS), 2023
Felix Mujkanovic
Simon Geisler
Stephan Günnemann
Aleksandar Bojchevski
OOD
AAML
217
69
0
31 Jan 2023
Robust Node Classification on Graphs: Jointly from Bayesian Label Transition and Topology-based Label Propagation
International Conference on Information and Knowledge Management (CIKM), 2022
Jun Zhuang
M. Hasan
213
20
0
21 Aug 2022
ARIEL: Adversarial Graph Contrastive Learning
ACM Transactions on Knowledge Discovery from Data (TKDD), 2022
Shengyu Feng
Baoyu Jing
Yada Zhu
Hanghang Tong
310
11
0
15 Aug 2022
A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability
Machine Intelligence Research (MIR), 2022
Enyan Dai
Tianxiang Zhao
Huaisheng Zhu
Jun Xu
Zhimeng Guo
Hui Liu
Shucheng Zhou
Suhang Wang
367
208
0
18 Apr 2022
Toward Enhanced Robustness in Unsupervised Graph Representation Learning: A Graph Information Bottleneck Perspective
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022
Jihong Wang
Minnan Luo
Jundong Li
Ziqi Liu
Jun Zhou
Qinghua Zheng
AAML
202
10
0
21 Jan 2022
Blindfolded Attackers Still Threatening: Strict Black-Box Adversarial Attacks on Graphs
AAAI Conference on Artificial Intelligence (AAAI), 2020
Jiarong Xu
Luke Huan
Xin Jiang
Yanhao Wang
Yang Yang
Chunping Wang
Jiangang Lu
AAML
343
16
0
12 Dec 2020
Adversarial Attack and Defense on Graph Data: A Survey
Lichao Sun
Yingtong Dou
Carl Yang
Ji Wang
Yixin Liu
Philip S. Yu
Lifang He
Yangqiu Song
GNN
AAML
497
361
0
26 Dec 2018
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