Adversarial Attack and Defense on Graph Data: A Survey-Reference-Cited by-同舟云学术

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Adversarial Attack and Defense on Graph Data: A Survey

Published:2022 Issue: Volume: Page:1-20
ISSN:1041-4347
Container-title:IEEE Transactions on Knowledge and Data Engineering
language:
Short-container-title:IEEE Trans. Knowl. Data Eng.

Author:

Sun Lichao¹^ORCID,Dou Yingtong²,Yang Carl³,Zhang Kai¹^ORCID,Wang Ji⁴^ORCID,Yu Philip S.²^ORCID,He Lifang¹,Li Bo⁵

Affiliation:

1. Department of Computer Science and Engineering, Lehigh University, Bethlehem, PA, USA

2. University of Illinois at Chicago, Chicago, IL, USA

3. Emory University, Atlanta, GA, USA

4. College of Systems Engineering, National University of Defense Technology, Changsha, Hunan, P. R. China

5. University of Illinois, Urbana-Champaign at Champaign, IL, USA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/69/4358933/09878092.pdf?arnumber=9878092

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