Anomalous behavior detection based on optimized graph embedding representation in social networks-Reference-Cited by-同舟云学术

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Anomalous behavior detection based on optimized graph embedding representation in social networks

Published:2024-09 Issue:7 Volume:36 Page:102158
ISSN:1319-1578
Container-title:Journal of King Saud University - Computer and Information Sciences
language:en
Short-container-title:Journal of King Saud University - Computer and Information Sciences

Author:

Xing Ling,Li Shiyu,Zhang Qi,Wu Honghai^ORCID,Ma Huahong,Zhang Xiaohui

Funder

National Aerospace Science Foundation of China

China National Funds for Distinguished Young Scientists

Publisher

Elsevier BV

Reference47 articles.

1. Boxe: A box embedding model for knowledge base completion;Abboud;Adv. Neural Inf. Process. Syst.,2020

2. Detecting fake news using machine learning: A systematic literature review;Ahmed;Ann. Oper. Res.,2021

3. Leveraging analysis of user behavior to identify malicious activities in large-scale social networks;Al-Qurishi;IEEE Trans. Ind. Inform.,2017

4. Anomaly detection over differential preserved privacy in online social networks;Aljably;PLoS One,2019

5. Knowledge-based approaches for identity management in online social networks;Bahri;Wiley Interdiscip. Rev.: Data Min. Knowl. Discov.,2018

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