Enhancing GNN-based Fraud Detector via Semantic Extraction and Max-Representation-Margin
Author:
Affiliation:
1. Sichuan University,School of Computer Science,Chengdu,China
2. Institute of Advanced Technology, Nanjing University of Posts and Telecommunications,Nanjing,China
3. Nuclear Power Institute of China,Chengdu,China
Funder
National Natural Science Foundation of China
Sichuan University
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10415628/10415561/10415816.pdf?arnumber=10415816
Reference26 articles.
1. Detecting Fake Accounts in Online Social Networks at the Time of Registrations
2. Heterogeneous Graph Neural Networks for Malicious Account Detection
3. FdGars: Fraudster Detection via Graph Convolutional Networks in Online App Review System
4. A Semi-Supervised Graph Attentive Network for Financial Fraud Detection
5. Deep Structure Learning for Fraud Detection
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