Markov enhanced graph attention network for spammer detection in online social network
Author:
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10115-024-02137-z.pdf
Reference29 articles.
1. Li C, Wang S, He L, Philip SY, Liang Y, Li Z (2018) SSDMV: Semi-supervised deep social spammer detection by multi-view data fusion. In: 2018 IEEE international conference on data mining (ICDM). IEEE, pp 247–256
2. Wang B, Gong NZ, Fu H (2017) GANG: Detecting fraudulent users in online social networks via guilt-by-association on directed graphs. In: 2017 IEEE international conference on data mining (ICDM). IEEE, pp 465–474
3. Deng L, Wu C, Lian D, Wu Y, Chen E (2022) Markov-Driven graph convolutional networks for social spammer detection. IEEE Trans Knowl Data Eng PP(99):1–1
4. Rao S, Verma AK, Bhatia T (2021) A review on social spam detection: challenges, open issues, and future directions. Expert Syst Appl 186:115742
5. Wang B, Zhang L, Gong NZ (2017) SybilSCAR: Sybil detection in online social networks via local rule based propagation. In: IEEE INFOCOM 2017-IEEE conference on computer communications. IEEE, pp 1–9
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