1. Aurna, N. F., Hossain, M. D., Taenaka, Y., & Kadobayashi, Y. (2023). Federated Learning-Based Credit Card Fraud Detection: Performance Analysis with Sampling Methods and Deep Learning Algorithms. In 2023 IEEE international conference on cyber security and resilience (pp. 180–186). http://dx.doi.org/10.1109/CSR57506.2023.10224978.
2. Two step graph-based semi-supervised learning for online auction fraud detection;Bangcharoensap,2015
3. Bukhori, H. A., & Munir, R. (2023). Inductive Link Prediction Banking Fraud Detection System Using Homogeneous Graph-Based Machine Learning Model. In 2023 IEEE 13th annual computing and communication workshop and conference (pp. 0246–0251). http://dx.doi.org/10.1109/CCWC57344.2023.10099180.
4. Credit card fraud detection via intelligent sampling and self-supervised learning;Chen;ACM Transactions on Intelligent Systems and Technology,2024
5. Graph neural network for fraud detection via spatial-temporal attention;Cheng;IEEE Transactions on Knowledge and Data Engineering,2022