Multisource Fraud Intelligence Using Graph Neural Networks for Merchant, Account, and Transaction Risk Assessment
Fraud intelligence in payment platforms is inherently relational: a transaction belongs to an account, reaches a merchant, and inherits risk from prior behavior on both sides. Yet graph models can underperform strong tabular learners when fraud labels are scarce or when new accounts appear after training. This paper ev...