Hybrid Graph Neural Network Framework for Anomaly-Based Detection and Visualization of Suspicious Bank Transactions
Anomaly detection in banking systems is becoming more challenging because of the nature of interconnectedness of the transaction data, which cannot be accurately captured through traditional means anymore. In this paper, we propose an approach based on graphs and the use of unsupervised machine learning to detect any a...