Target link protection against link-prediction-based attacks via artificial bee colony algorithm based on random walk-Reference-Cited by-同舟云学术

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Target link protection against link-prediction-based attacks via artificial bee colony algorithm based on random walk

Published:2024-06-04 Issue: Volume: Page:
ISSN:1868-8071
Container-title:International Journal of Machine Learning and Cybernetics
language:en
Short-container-title:Int. J. Mach. Learn. & Cyber.

Author:

Jiang Zhongyuan,Liu Haibo,Li Jing,Li Xinghua,Ma Jianfeng,Yu Philip S.

Funder

the Key Research and Development Projects of Shaanxi Province

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s13042-024-02198-0.pdf

Reference33 articles.

1. Chen X, Jiang Z, Li X, Ma J, Philip SY (2021) Community hiding by link perturbation in social networks. IEEE Trans Comput Soc Syst 8(3):704–715

2. Shao H, Wang L, Zhu R (2023) Link prediction for heterogeneous information networks based on enhanced meta-path aggregation and attention mechanism. Int J Mach Learn Cybern 14:1–17

3. Mislove A, Viswanath B, Gummadi KP, Druschel P (2010) You are who you know: inferring user profiles in online social networks. In: Proceedings of the 3rd ACM international conference on web search and data mining, pp 251–260

4. Li M, Wang Y, Zhang D, Jia Y, Cheng X (2018) Link prediction in knowledge graphs: a hierarchy-constrained approach. IEEE Trans Big Data 8(3):630–643

5. Zheleva E, Getoor L (2007) Preserving the privacy of sensitive relationships in graph data. In: International workshop on privacy, security, and trust in KDD. Springer, London, pp 153–171

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