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1908.11514
Cited By
Adversarial Training Methods for Network Embedding
The Web Conference (WWW), 2019
30 August 2019
Quanyu Dai
X. Shen
Liang Zhang
Qiang Li
Dan Wang
GAN
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Papers citing
"Adversarial Training Methods for Network Embedding"
38 / 38 papers shown
Unifying Adversarial Perturbation for Graph Neural Networks
Jinluan Yang
Ruihao Zhang
Zhengyu Chen
Fei Wu
Kun Kuang
AAML
267
1
0
30 Aug 2025
Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses
Lincan Li
Bolin Shen
Chenxi Zhao
Yuxiang Sun
Kaixiang Zhao
Shirui Pan
Yushun Dong
290
1
0
27 Aug 2025
Exact Verification of Graph Neural Networks with Incremental Constraint Solving
Minghao Liu
Chia-Hsuan Lu
Marta Kwiatkowska
AAML
242
2
0
12 Aug 2025
Adversarial Training: A Survey
Mengnan Zhao
Lihe Zhang
Jingwen Ye
Huchuan Lu
Baocai Yin
Xinchao Wang
AAML
342
13
0
19 Oct 2024
PSNE: Efficient Spectral Sparsification Algorithms for Scaling Network Embedding
International Conference on Information and Knowledge Management (CIKM), 2024
Longlong Lin
Yunfeng Yu
Zihao Wang
Zeli Wang
Yuying Zhao
Jin Zhao
Tao Jia
281
4
0
05 Aug 2024
Safety in Graph Machine Learning: Threats and Safeguards
Song Wang
Yushun Dong
Binchi Zhang
Zihan Chen
Xingbo Fu
Yinhan He
Cong Shen
Chuxu Zhang
Nitesh Chawla
Wenlin Yao
410
11
0
17 May 2024
Uncertainty Quantification on Graph Learning: A Survey
Chao Chen
Chenghua Guo
Rui Xu
Xiangwen Liao
Xi Zhang
Sihong Xie
Hui Xiong
Mohit Bansal
Philip Yu
477
3
0
23 Apr 2024
Node-aware Bi-smoothing: Certified Robustness against Graph Injection Attacks
Y. Lai
Yulin Zhu
Bailin Pan
Wei Song
AAML
440
11
0
07 Dec 2023
Domain-adaptive Message Passing Graph Neural Network
Neural Networks (Neural Netw.), 2023
X. Shen
Shirui Pan
K. Choi
Xiaoping Zhou
324
26
0
31 Aug 2023
IDEA: Invariant Defense for Graph Adversarial Robustness
Information Sciences (Inf. Sci.), 2023
Shuchang Tao
Qi Cao
Huawei Shen
Yunfan Wu
Bingbing Xu
Xueqi Cheng
AAML
OOD
405
7
0
25 May 2023
Graph Adversarial Immunization for Certifiable Robustness
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
Shuchang Tao
Huawei Shen
Qi Cao
Yunfan Wu
Liang Hou
Xueqi Cheng
AAML
436
9
0
16 Feb 2023
Metaverse Security and Privacy: An Overview
Zefeng Chen
Jiayang Wu
Wensheng Gan
Zhenlian Qi
274
94
0
27 Nov 2022
Model Inversion Attacks against Graph Neural Networks
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022
Zaixin Zhang
Qi Liu
Zhenya Huang
Hao Wang
Cheekong Lee
Enhong
AAML
283
59
0
16 Sep 2022
Adversarial Camouflage for Node Injection Attack on Graphs
Information Sciences (Inf. Sci.), 2022
Shuchang Tao
Qi Cao
Huawei Shen
Yunfan Wu
Liang Hou
Fei Sun
Xueqi Cheng
AAML
GNN
422
31
0
03 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
414
222
0
18 Apr 2022
Exploring High-Order Structure for Robust Graph Structure Learning
Guangqian Yang
Yibing Zhan
Jinlong Li
Baosheng Yu
Liu Liu
Fengxiang He
AAML
192
0
0
22 Mar 2022
Graph Convolutional Neural Networks Sensitivity under Probabilistic Error Model
IEEE Transactions on Signal and Information Processing over Networks (TSIPN), 2022
Xinjue Wang
Esa Ollila
S. Vorobyov
AAML
464
4
0
15 Mar 2022
Graph Data Augmentation for Graph Machine Learning: A Survey
IEEE Data Engineering Bulletin (DEB), 2022
Tong Zhao
Wei Jin
Yozen Liu
Yingheng Wang
Gang Liu
Stephan Günnemann
Neil Shah
Meng Jiang
OOD
428
102
0
17 Feb 2022
Model Stealing Attacks Against Inductive Graph Neural Networks
Yun Shen
Xinlei He
Yufei Han
Yang Zhang
318
88
0
15 Dec 2021
Inference Attacks Against Graph Neural Networks
Zhikun Zhang
Min Chen
Michael Backes
Yun Shen
Yang Zhang
MIACV
AAML
GNN
240
50
0
06 Oct 2021
Understanding the Effects of Adversarial Personalized Ranking Optimization Method on Recommendation Quality
Vito Walter Anelli
Yashar Deldjoo
Tommaso Di Noia
Felice Antonio Merra
146
0
0
29 Jul 2021
On Generalization of Graph Autoencoders with Adversarial Training
Tianjin Huang
Yulong Pei
Vlado Menkovski
Mykola Pechenizkiy
GNN
277
7
0
06 Jul 2021
Adversarial Robustness of Probabilistic Network Embedding for Link Prediction
Xi Chen
Bo Kang
Jefrey Lijffijt
T. D. Bie
AAML
210
2
0
05 Jul 2021
A Robust and Generalized Framework for Adversarial Graph Embedding
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021
Jianxin Li
Xingcheng Fu
Hao Peng
Senzhang Wang
Shijie Zhu
Qingyun Sun
Philip S. Yu
Lifang He
181
20
0
22 May 2021
Understanding and Improvement of Adversarial Training for Network Embedding from an Optimization Perspective
Web Search and Data Mining (WSDM), 2021
Lun Du
Xu Chen
Fei Gao
Qiang Fu
Kunqing Xie
Shi Han
Dongmei Zhang
290
13
0
17 May 2021
Graphfool: Targeted Label Adversarial Attack on Graph Embedding
IEEE Transactions on Computational Social Systems (IEEE TCSS), 2021
Jinyin Chen
Xiang Lin
Dunjie Zhang
Haibin Zheng
Guohan Huang
Hui Xiong
Xiang Lin
AAML
231
5
0
24 Feb 2021
GraphAttacker: A General Multi-Task GraphAttack Framework
IEEE Transactions on Network Science and Engineering (TNSE), 2021
Jinyin Chen
Dunjie Zhang
Zhaoyan Ming
Kejie Huang
Wenrong Jiang
Chen Cui
AAML
377
18
0
18 Jan 2021
Unsupervised Adversarially-Robust Representation Learning on Graphs
AAAI Conference on Artificial Intelligence (AAAI), 2020
Jiarong Xu
Yang Yang
Junru Chen
Chunping Wang
Xin Jiang
Jiangang Lu
Luke Huan
SSL
AAML
OOD
509
44
0
04 Dec 2020
Learning Node Representations from Noisy Graph Structures
Industrial Conference on Data Mining (IDM), 2020
Junshan Wang
Ziyao Li
Qingqing Long
Weiyu Zhang
Guojie Song
C. Shi
121
12
0
04 Dec 2020
Deep Kernel Supervised Hashing for Node Classification in Structural Networks
Information Sciences (Inf. Sci.), 2020
Jia-Nan Guo
Xian-Ling Mao
Shuyuan Lin
Wei Wei
Heyan Huang
169
6
0
26 Oct 2020
Adversarial Directed Graph Embedding
AAAI Conference on Artificial Intelligence (AAAI), 2020
Shijie Zhu
Jianxin Li
Hao Peng
Senzhang Wang
Lifang He
GAN
GNN
301
50
0
09 Aug 2020
AN-GCN: An Anonymous Graph Convolutional Network Defense Against Edge-Perturbing Attack
Ao Liu
Beibei Li
Tao Li
Pan Zhou
Rui Wang
AAML
537
0
0
06 May 2020
Adversarial Attacks and Defenses: An Interpretation Perspective
Ninghao Liu
Mengnan Du
Ruocheng Guo
Huan Liu
Helen Zhou
AAML
242
8
0
23 Apr 2020
Adversarial Attacks and Defenses on Graphs: A Review, A Tool and Empirical Studies
Wei Jin
Yaxin Li
Han Xu
Yiqi Wang
Shuiwang Ji
Charu C. Aggarwal
Shucheng Zhou
AAML
GNN
454
106
0
02 Mar 2020
Adversarial Deep Network Embedding for Cross-network Node Classification
AAAI Conference on Artificial Intelligence (AAAI), 2020
X. Shen
Quanyu Dai
K. F. Chung
Wei Lu
K. Choi
209
98
0
18 Feb 2020
Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2019
Quanyu Dai
Xiao-Ming Wu
Jiaren Xiao
Xiao Shen
Dan Wang
OOD
370
133
0
04 Sep 2019
Homogeneous Network Embedding for Massive Graphs via Reweighted Personalized PageRank
Proceedings of the VLDB Endowment (PVLDB), 2019
Renchi Yang
Jieming Shi
Xiaokui Xiao
Yifan Yang
S. Bhowmick
532
76
0
17 Jun 2019
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
649
374
0
26 Dec 2018
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