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Provably Robust Explainable Graph Neural Networks against Graph Perturbation Attacks

Provably Robust Explainable Graph Neural Networks against Graph Perturbation Attacks

6 February 2025
Jiate Li
Meng Pang
Yun Dong
Jinyuan Jia
Binghui Wang
    AAMLOOD
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Papers citing "Provably Robust Explainable Graph Neural Networks against Graph Perturbation Attacks"

5 / 5 papers shown
Title
Is Noise Conditioning Necessary? A Unified Theory of Unconditional Graph Diffusion Models
Is Noise Conditioning Necessary? A Unified Theory of Unconditional Graph Diffusion Models
Jipeng Li
Yanning Shen
DiffMAI4CE
39
0
0
28 May 2025
Deterministic Certification of Graph Neural Networks against Graph Poisoning Attacks with Arbitrary Perturbations
Deterministic Certification of Graph Neural Networks against Graph Poisoning Attacks with Arbitrary Perturbations
Jiate Li
Meng Pang
Yun Dong
Binghui Wang
AAML
110
0
0
24 Mar 2025
Backdoor Attacks on Discrete Graph Diffusion Models
Jiawen Wang
Samin Karim
Yuan Hong
Binghui Wang
DiffM
180
0
0
08 Mar 2025
AGNNCert: Defending Graph Neural Networks against Arbitrary Perturbations with Deterministic Certification
AGNNCert: Defending Graph Neural Networks against Arbitrary Perturbations with Deterministic Certification
Jiate Li
Binghui Wang
AAML
119
2
0
02 Feb 2025
Faithful Interpretation for Graph Neural Networks
Faithful Interpretation for Graph Neural Networks
Lijie Hu
Tianhao Huang
Lu Yu
Wanyu Lin
Tianhang Zheng
Di Wang
74
3
0
09 Oct 2024
1