Friend or Foe? Mining Suspicious Behavior via Graph Capsule Infomax Detector against Fraudsters-Reference-Cited by-同舟云学术

Friend or Foe? Mining Suspicious Behavior via Graph Capsule Infomax Detector against Fraudsters

Published:2024-05-13 Issue: Volume:97 Page:2684-2693
ISSN:
Container-title:Proceedings of the ACM Web Conference 2024
language:
Short-container-title:

Author:

Zheng Xiangping¹^ORCID,Wu Bo²^ORCID,Liang Xun³^ORCID,Li Wei⁴^ORCID

Affiliation:

1. College of Computer Science and Technology, Harbin Engineering University & Modeling and Emulation in E-Government National Engineering Laboratory, Harbin, Heilongjiang, China

2. R&D and External Relations Department, Xiangjiang Laboratory & School of Artificial Intelligence and Advanced Computing, Hunan University of Technology and Business, Changsha, Hunan, China

3. School of Information, Renmin University of China, Beijing, China

4. College of Computer Science and Technology, Harbin Engineering University, Harbin, Heilongjiang, China

Funder

National Key Laboratory of Underwater Acoustic Technology

Natural Science Foundation of Heilongjiang Province

National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3589334.3645706

Reference51 articles.

1. Brain Tumor Type Classification via Capsule Networks

2. Leman Akoglu, Rishi Chandy, and Christos Faloutsos. 2013. Opinion Fraud Detection in Online Reviews by Network Effects. In ICWSM. The AAAI Press.

3. Adam Breuer Roee Eilat and Udi Weinsberg. 2020. Friend or Faux: Graph-Based Early Detection of Fake Accounts on Social Networks. In WWW. ACM / IW3C2 1287--1297.

4. Corinna Cortes, Daryl Pregibon, and Chris Volinsky. 2001. Communities of Interest. In IDA, Vol. 2189. Springer, 105--114.

5. Qi Ding Natallia Katenka Paul Barford Eric D. Kolaczyk and Mark Crovella. 2012. Intrusion as (anti)social communication: characterization and detection. In SIGKDD. ACM 886--894.