Design of a financial fraud detection model optimized by multi-task learning and graph neural networks
Contemporary financial regulation and risk identification are increasingly challenged by the escalating intricacy of inter-firm relational architectures, the diversification of financial conduct, and the multidimensionality of data sources. Conventional fraud detection methodologies, predominantly grounded in single-ta...