Unlink to Unlearn: Simplifying Edge Unlearning in GNNs-Reference-Cited by-同舟云学术

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Unlink to Unlearn: Simplifying Edge Unlearning in GNNs

Published:2024-05-13 Issue: Volume:33 Page:489-492
ISSN:
Container-title:Companion Proceedings of the ACM Web Conference 2024
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Author:

Tan Jiajun¹^ORCID,Sun Fei²^ORCID,Qiu Ruichen³^ORCID,Su Du²^ORCID,Shen Huawei²^ORCID

Affiliation:

1. Institute of Computing Technology, Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China, China

2. Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China

3. University of Chinese Academy of Sciences, Beijing, China

Funder

Innovation Funding of Institute of Computing Technology, CAS

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3589335.3651578

Reference17 articles.

1. Aleksandar Bojchevski and Stephan Günnemann. 2018. Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking. In ICLR.

2. Lucas Bourtoule, Varun Chandrasekaran, Christopher A. Choquette-Choo, Hengrui Jia, Adelin Travers, Baiwu Zhang, David Lie, and Nicolas Papernot. 2021. Machine Unlearning. In IEEE S&P. 141--159.

3. Yinzhi Cao and Junfeng Yang. 2015. Towards making systems forget with machine unlearning. In IEEE S&P. 463--480.

4. Chong Chen Fei Sun Min Zhang and Bolin Ding. 2022a. Recommendation Unlearning. In WebConf. 2768--2777.

5. Min Chen Zhikun Zhang Tianhao Wang Michael Backes Mathias Humbert and Yang Zhang. 2022b. Graph unlearning. In SIGSAC. 499--513.

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