Graph Structure Learning for Robust Graph Neural Networks

Type: Article

Publication Date: 2020-08-20

Citations: 423

DOI: https://doi.org/10.1145/3394486.3403049

Locations

  • arXiv (Cornell University) - View - PDF

Similar Works

Action Title Year Authors
+ Graph Structure Learning for Robust Graph Neural Networks 2020 Wei Jin
Yao Ma
Xiaorui Liu
Xianfeng Tang
Suhang Wang
Jiliang Tang
+ Spectral Adversarial Training for Robust Graph Neural Network 2022 Jintang Li
Jiaying Peng
Liang Chen
Zibin Zheng
Tingting Liang
Qing Ling
+ GARNET: Reduced-Rank Topology Learning for Robust and Scalable Graph Neural Networks 2022 Chenhui Deng
Xiuyu Li
Zhuo Feng
Zhiru Zhang
+ Exploring High-Order Structure for Robust Graph Structure Learning 2022 Guangqian Yang
Yibing Zhan
Jinlong Li
Baosheng Yu
Liu Liu
Fengxiang He
+ Efficient Low-Rank GNN Defense Against Structural Attacks 2023 Abdullah Alchihabi
Qing En
Yuhong Guo
+ PDF Chat Efficient Low-Rank GNN Defense Against Structural Attacks 2023 Abdullah Alchihabi
Qing En
Yuhong Guo
+ PDF Chat A Simple and Yet Fairly Effective Defense for Graph Neural Networks 2024 Sofiane Ennadir
Yassine Abbahaddou
Johannes F. Lutzeyer
Michalis Vazirgiannis
Henrik Boström
+ PDF Chat A Simple and Yet Fairly Effective Defense for Graph Neural Networks 2024 Sofiane Ennadir
Yassine Abbahaddou
Johannes F. Lutzeyer
Michalis Vazirgiannis
Henrik Boström
+ PDF Chat SFR-GNN: Simple and Fast Robust GNNs against Structural Attacks 2024 Xing Ai
Guanyu Zhu
Yulin Zhu
Yu Zheng
Gaolei Li
Jianhua Li
Kai Zhou
+ Adversarial Attacks and Defenses on Graphs: A Review, A Tool and Empirical Studies 2020 Wei Jin
Yaxin Li
Han Xu
Yiqi Wang
Shuiwang Ji
Charų C. Aggarwal
Jiliang Tang
+ GraphDefense: Towards Robust Graph Convolutional Networks 2019 Xiaoyun Wang
Xuanqing Liu
Cho‐Jui Hsieh
+ Are Defenses for Graph Neural Networks Robust? 2023 Felix Mujkanovic
Simon Geisler
Stephan Günnemann
Aleksandar Bojchevski
+ GNNGuard: Defending Graph Neural Networks against Adversarial Attacks 2020 Xiang Zhang
Marinka Žitnik
+ CoG: a Two-View Co-training Framework for Defending Adversarial Attacks on Graph 2021 Xugang Wu
Huijun Wu
Xu Zhou
Kai Lü
+ PDF Chat Spectral Adversarial Training for Robust Graph Neural Network 2022 Jintang Li
Jiaying Peng
Liang Chen
Zibin Zheng
Tingting Liang
Qing Ling
+ PDF Chat Certified Robustness of Graph Neural Networks against Adversarial Structural Perturbation 2021 Binghui Wang
Jinyuan Jia
Xiaoyu Cao
Neil Zhenqiang Gong
+ A Survey of Adversarial Learning on Graphs 2020 Liang Chen
Jintang Li
Jiaying Peng
Tao Xie
Zengxu Cao
Kun Xu
Xiangnan He
Zibin Zheng
+ PDF Chat Perseus: Leveraging Common Data Patterns with Curriculum Learning for More Robust Graph Neural Networks 2024 Kaiwen Xia
Huijun Wu
Duanyu Li
Min Xie
Ruibo Wang
Wenzhe Zhang
+ PDF Chat Talos: A More Effective and Efficient Adversarial Defense for GNN Models Based on the Global Homophily of Graphs 2024 Duanyu Li
Huijun Wu
Min Xie
Xugang Wu
Zhenwei Wu
Wenzhe Zhang
+ PDF Chat Certified Robustness of Graph Neural Networks against Adversarial Structural Perturbation 2020 Binghui Wang
Jinyuan Jia
Xiaoyu Cao
Neil Zhenqiang Gong

Works That Cite This (161)

Action Title Year Authors
+ Graph Transformer Networks: Learning meta-path graphs to improve GNNs 2022 Seongjun Yun
Minbyul Jeong
Sungdong Yoo
Seunghun Lee
Sean S. Yi
Raehyun Kim
Jaewoo Kang
Hyunwoo J. Kim
+ PDF Chat Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses 2020 Yingwei Li
Song Bai
Cihang Xie
Zhenyu Liao
Xiaohui Shen
Alan Yuille
+ PDF Chat Revisiting Adversarial Attacks on Graph Neural Networks for Graph Classification 2023 Xin Wang
Heng Chang
Beini Xie
Tian Bian
Shiji Zhou
Daixin Wang
Zhiqiang Zhang
Wenwu Zhu
+ PDF Chat Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural Networks 2023 Chuang Liu
Xueqi Ma
Yibing Zhan
Liang Ding
Dapeng Tao
Bo Du
Wenbin Hu
Danilo P. Mandic
+ PDF Chat FocusedCleaner: Sanitizing Poisoned Graphs for Robust GNN-Based Node Classification 2023 Yulin Zhu
Liang Tong
Gaolei Li
Xiapu Luo
Kai Zhou
+ PDF Chat A Comprehensive Survey on Deep Graph Representation Learning 2024 Wei Ju
Zheng Fang
Yiyang Gu
Zequn Liu
Qingqing Long
Ziyue Qiao
Yifang Qin
Jianhao Shen
Fang Sun
Zhiping Xiao
+ A Comprehensive Survey on Deep Graph Representation Learning 2023 Wei Ju
Zheng Fang
Yiyang Gu
Zequn Liu
Qingqing Long
Ziyue Qiao
Yifang Qin
Jianhao Shen
Fang Sun
Zhiping Xiao
+ GNNGuard: Defending Graph Neural Networks against Adversarial Attacks 2020 Xiang Zhang
Marinka Žitnik
+ Subgraph Federated Learning with Missing Neighbor Generation 2021 Ke Zhang
Carl Yang
Xiaoxiao Li
Lichao Sun
Siu Ming Yiu
+ PDF Chat How to certify machine learning based safety-critical systems? A systematic literature review 2022 Florian Tambon
Gabriel Laberge
Le An
Amin Nikanjam
Paulina Stevia Nouwou Mindom
Yann Pequignot
Foutse Khomh
G. Antoniol
Ettore Merlo
François Laviolette