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Adversarial Defense Framework for Graph Neural Network

Adversarial Defense Framework for Graph Neural Network

9 May 2019
Shen Wang
Zhengzhang Chen
Jingchao Ni
Xiao Yu
Zhichun Li
Haifeng Chen
Philip S. Yu
    AAML
    GNN
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Papers citing "Adversarial Defense Framework for Graph Neural Network"

4 / 4 papers shown
Title
Toward Enhanced Robustness in Unsupervised Graph Representation
  Learning: A Graph Information Bottleneck Perspective
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
23
5
0
21 Jan 2022
GNNGuard: Defending Graph Neural Networks against Adversarial Attacks
GNNGuard: Defending Graph Neural Networks against Adversarial Attacks
Xiang Zhang
Marinka Zitnik
AAML
27
291
0
15 Jun 2020
Adversarial Attack and Defense on Graph Data: A Survey
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
23
275
0
26 Dec 2018
Interaction Networks for Learning about Objects, Relations and Physics
Interaction Networks for Learning about Objects, Relations and Physics
Peter W. Battaglia
Razvan Pascanu
Matthew Lai
Danilo Jimenez Rezende
Koray Kavukcuoglu
AI4CE
OCL
PINN
GNN
283
1,401
0
01 Dec 2016
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