Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure

20 February 2019

Papers citing "Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure"

48 / 98 papers shown

Title
Data Augmentation for Deep Graph Learning: A Survey Kaize Ding Zhe Xu Hanghang Tong Huan Liu OOD GNN 11 217 0 16 Feb 2022
Understanding and Improving Graph Injection Attack by Promoting Unnoticeability Yongqiang Chen Han Yang Yonggang Zhang Kaili Ma Tongliang Liu Bo Han James Cheng AAML 11 79 0 16 Feb 2022
Out-Of-Distribution Generalization on Graphs: A Survey Haoyang Li Xin Eric Wang Ziwei Zhang Wenwu Zhu OOD CML 8 96 0 16 Feb 2022
Recent Advances in Reliable Deep Graph Learning: Inherent Noise, Distribution Shift, and Adversarial Attack Jintang Li Bingzhe Wu Chengbin Hou Guoji Fu Yatao Bian Liang Chen Junzhou Huang Zibin Zheng OOD AAML 14 6 0 15 Feb 2022
Learning Robust Representation through Graph Adversarial Contrastive Learning Jiayan Guo Shangyang Li Yue Zhao Yan Zhang 20 5 0 31 Jan 2022
Toward Enhanced Robustness in Unsupervised Graph Representation Learning: A Graph Information Bottleneck Perspective Jihong Wang Minnan Luo Jundong Li Ziqi Liu Jun Zhou Qinghua Zheng AAML 10 5 0 21 Jan 2022
Motion Prediction via Joint Dependency Modeling in Phase Space Pengxiang Su Zhenguang Liu Shuang Wu Lei Zhu Yifang Yin Xuanjing Shen 20 27 0 07 Jan 2022
Learning Human Motion Prediction via Stochastic Differential Equations Kedi Lyu Zhenguang Liu Shuang Wu Haipeng Chen Xuhong Zhang Yuyu Yin 16 17 0 21 Dec 2021
Model Stealing Attacks Against Inductive Graph Neural Networks Yun Shen Xinlei He Yufei Han Yang Zhang 14 60 0 15 Dec 2021
SCR: Training Graph Neural Networks with Consistency Regularization Chenhui Zhang Yufei He Yukuo Cen Zhenyu Hou Wenzheng Feng Yuxiao Dong Xu Cheng Hongyun Cai Feng He Jie Tang 16 8 0 08 Dec 2021
Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of Graph Machine Learning Qinkai Zheng Xu Zou Yuxiao Dong Yukuo Cen Da Yin Jiarong Xu Yang Yang Jie Tang OOD AAML 30 49 0 08 Nov 2021
Inference Attacks Against Graph Neural Networks Zhikun Zhang Min Chen Michael Backes Yun Shen Yang Zhang MIACV AAML GNN 17 45 0 06 Oct 2021
Self-Training with Differentiable Teacher Simiao Zuo Yue Yu Chen Liang Haoming Jiang Siawpeng Er Chao Zhang T. Zhao H. Zha 27 14 0 15 Sep 2021
Local Augmentation for Graph Neural Networks Songtao Liu Rex Ying Hanze Dong Lanqing Li Tingyang Xu Yu Rong P. Zhao Junzhou Huang Dinghao Wu 23 91 0 08 Sep 2021
Robustness-via-Synthesis: Robust Training with Generative Adversarial Perturbations Inci M. Baytas Debayan Deb AAML 12 7 0 22 Aug 2021
RRLFSOR: An Efficient Self-Supervised Learning Strategy of Graph Convolutional Networks Feng Sun Ajith Kumar Guanci Yang Qikui Zhu Yiyun Zhang Ansi Zhang Dhruv Makwana SSL GNN 20 0 0 17 Aug 2021
Understanding the Effects of Adversarial Personalized Ranking Optimization Method on Recommendation Quality V. W. Anelli Yashar Deldjoo T. D. Noia Felice Antonio Merra 11 0 0 29 Jul 2021
On Generalization of Graph Autoencoders with Adversarial Training Tianjin Huang Yulong Pei Vlado Menkovski Mykola Pechenizkiy GNN 11 6 0 06 Jul 2021
Adversarial Robustness of Probabilistic Network Embedding for Link Prediction Xi Chen Bo Kang Jefrey Lijffijt T. D. Bie AAML 15 2 0 05 Jul 2021
Understanding and Improvement of Adversarial Training for Network Embedding from an Optimization Perspective Lun Du Xu Chen Fei Gao Qiang Fu Kunqing Xie Shi Han Dongmei Zhang 13 12 0 17 May 2021
Cross-Domain Contract Element Extraction with a Bi-directional Feedback Clause-Element Relation Network Zihan Wang Hongye Song Z. Ren Pengjie Ren Zhumin Chen Xiaozhong Liu Hongsong Li Maarten de Rijke AILaw 25 12 0 13 May 2021
Non-Recursive Graph Convolutional Networks Hao Chen Zengde Deng Yue Xu Zhoujun Li GNN 22 7 0 09 May 2021
Spatio-Temporal Sparsification for General Robust Graph Convolution Networks Mingming Lu Ya-Qin Zhang OOD AAML 11 0 0 23 Mar 2021
Network Representation Learning: From Traditional Feature Learning to Deep Learning Ke Sun Lei Wang Bo Xu Wenhong Zhao S. Teng Feng Xia GNN 17 28 0 07 Mar 2021
Towards Robust Graph Contrastive Learning Nikola Jovanović Zhao Meng Lukas Faber Roger Wattenhofer SSL 13 33 0 25 Feb 2021
Graphfool: Targeted Label Adversarial Attack on Graph Embedding Jinyin Chen Xiang Lin Dunjie Zhang Haibin Zheng Guohan Huang Hui Xiong Xiang Lin AAML 33 3 0 24 Feb 2021
SPADE: A Spectral Method for Black-Box Adversarial Robustness Evaluation Wuxinlin Cheng Chenhui Deng Zhiqiang Zhao Yaohui Cai Zhiru Zhang Zhuo Feng AAML 12 13 0 07 Feb 2021
Calibrating and Improving Graph Contrastive Learning Kaili Ma Haochen Yang Han Yang Yongqiang Chen James Cheng 24 6 0 27 Jan 2021
GraphAttacker: A General Multi-Task GraphAttack Framework Jinyin Chen Dunjie Zhang Zhaoyan Ming Kejie Huang Wenrong Jiang Chen Cui AAML 24 12 0 18 Jan 2021
Unsupervised Adversarially-Robust Representation Learning on Graphs Jiarong Xu Yang Yang Junru Chen Chunping Wang Xin Jiang Jiangang Lu Yizhou Sun SSL AAML OOD 22 36 0 04 Dec 2020
Single-Node Attacks for Fooling Graph Neural Networks Ben Finkelshtein Chaim Baskin Evgenii Zheltonozhskii Uri Alon AAML 6 12 0 06 Nov 2020
Deperturbation of Online Social Networks via Bayesian Label Transition Jun Zhuang M. Hasan AAML 6 9 0 27 Oct 2020
Robust Optimization as Data Augmentation for Large-scale Graphs Kezhi Kong G. Li Mucong Ding Zuxuan Wu Chen Zhu Bernard Ghanem Gavin Taylor Tom Goldstein 87 74 0 19 Oct 2020
Uncertainty-Matching Graph Neural Networks to Defend Against Poisoning Attacks U. Shanthamallu Jayaraman J. Thiagarajan A. Spanias AAML 6 16 0 30 Sep 2020
CatGCN: Graph Convolutional Networks with Categorical Node Features Weijia Chen Fuli Feng Qifan Wang Xiangnan He Chonggang Song Guohui Ling Yongdong Zhang GNN 17 21 0 11 Sep 2020
Rethinking Graph Regularization for Graph Neural Networks Han Yang Kaili Ma James Cheng AI4CE 6 72 0 04 Sep 2020
DefenseVGAE: Defending against Adversarial Attacks on Graph Data via a Variational Graph Autoencoder Ao Zhang Jinwen Ma AAML GNN 8 22 0 16 Jun 2020
Graph Random Neural Network for Semi-Supervised Learning on Graphs Wenzheng Feng Jie Zhang Yuxiao Dong Yu Han Huanbo Luan Qian Xu Qiang Yang Evgeny Kharlamov Jie Tang 19 383 0 22 May 2020
AN-GCN: An Anonymous Graph Convolutional Network Defense Against Edge-Perturbing Attack Ao Liu Beibei Li Tao Li Pan Zhou Rui Wang AAML 12 0 0 06 May 2020
A Survey of Adversarial Learning on Graphs Liang Chen Jintang Li Jiaying Peng Tao Xie Zengxu Cao Kun Xu Xiangnan He Zibin Zheng Bingzhe Wu AAML 6 82 0 10 Mar 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 Jiliang Tang AAML GNN 16 100 0 02 Mar 2020
A Gentle Introduction to Deep Learning for Graphs D. Bacciu Federico Errica A. Micheli Marco Podda AI4CE GNN 18 276 0 29 Dec 2019
Time-aware Gradient Attack on Dynamic Network Link Prediction Jinyin Chen Jian Andrew Zhang Z. Chen Min Du Qi Xuan AAML 6 35 0 24 Nov 2019
Certifiable Robustness to Graph Perturbations Aleksandar Bojchevski Stephan Günnemann AAML 15 120 0 31 Oct 2019
GraphMix: Improved Training of GNNs for Semi-Supervised Learning Vikas Verma Meng Qu Kenji Kawaguchi Alex Lamb Yoshua Bengio Juho Kannala Jian Tang 18 62 0 25 Sep 2019
Adversarial Attacks and Defenses in Images, Graphs and Text: A Review Han Xu Yao Ma Haochen Liu Debayan Deb Hui Liu Jiliang Tang Anil K. Jain AAML 17 665 0 17 Sep 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 B. Li GNN AAML 13 273 0 26 Dec 2018
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 256 3,102 0 04 Nov 2016