Single-Node Injection Label Specificity Attack on Graph Neural Networks via Reinforcement Learning-Reference-Cited by-同舟云学术

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Single-Node Injection Label Specificity Attack on Graph Neural Networks via Reinforcement Learning

Published:2024 Issue: Volume: Page:1-16
ISSN:2329-924X
Container-title:IEEE Transactions on Computational Social Systems
language:
Short-container-title:IEEE Trans. Comput. Soc. Syst.

Author:

Chen Dayuan¹^ORCID,Zhang Jian²^ORCID,Lv Yuqian¹^ORCID,Wang Jinhuan¹^ORCID,Ni Hongjie³^ORCID,Yu Shanqing¹^ORCID,Wang Zhen⁴^ORCID,Xuan Qi¹^ORCID

Affiliation:

1. Institute of Cyberspace Security, College of Information Engineering, Zhejiang University of Technology, Hangzhou, China

2. School of Cyberspace, Hangzhou Dianzi University, Hangzhou, China

3. College of Information Engineering, Zhejiang University of Technology, Hangzhou, China

4. School of Cyberspace and ZhuoYue Honors College, Hangzhou Dianzi University, Hangzhou, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6570650/6780646/10499722.pdf?arnumber=10499722

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Node-aware Bi-smoothing: Certified Robustness against Graph Injection Attacks;2024 IEEE Symposium on Security and Privacy (SP);2024-05-19

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