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Can Large Language Models Improve the Adversarial Robustness of Graph
  Neural Networks?

Can Large Language Models Improve the Adversarial Robustness of Graph Neural Networks?

16 August 2024
Zhongjian Zhang
Xiao Wang
Huichi Zhou
Yue Yu
Mengmei Zhang
Cheng Yang
Chuan Shi
    AAML
ArXivPDFHTML

Papers citing "Can Large Language Models Improve the Adversarial Robustness of Graph Neural Networks?"

2 / 2 papers shown
Title
Evaluate-and-Purify: Fortifying Code Language Models Against Adversarial Attacks Using LLM-as-a-Judge
Evaluate-and-Purify: Fortifying Code Language Models Against Adversarial Attacks Using LLM-as-a-Judge
Wenhan Mu
Ling Xu
Shuren Pei
Le Mi
Huichi Zhou
AAML
ELM
48
0
0
28 Apr 2025
Rethinking Graph Structure Learning in the Era of LLMs
Rethinking Graph Structure Learning in the Era of LLMs
Zhihan Zhang
Xunkai Li
Guang Zeng
Hongchao Qin
R. Li
Guoren Wang
44
0
0
27 Mar 2025
1