ProtoHGC: Heterogeneous Graph Contrastive Learning with Prototype-Regularized Classification for Transaction Fraud Detection
Transaction fraud detection on digital payment platforms poses three inter-twined challenges: sparse supervision, severe class imbalance, and complex relational dependencies among accounts and transaction events. This paper studies fraud detection on a heterogeneous transaction graph constructed from the public PaySim...