Muhammad Asif

Design of a financial fraud detection model optimized by multi-task learning and graph neural networks

GN-MTNet, a novel financial fraud detection framework that synthesizes graph neural networks with multi-task learning, is introduced, furnishing essential technical underpinnings for the development of enterprise risk profiling and the enhancement of intelligent financial auditing systems.