DL-RL: Dual-Layer Graph Neural Networks with Curriculum Reinforcement Learning for Financial Fraud Detection
Financial fraud imposes estimated annual global losses exceeding $5.1 trillion, while digital payment fraud grows at over 30% per year.
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Financial fraud imposes estimated annual global losses exceeding $5.1 trillion, while digital payment fraud grows at over 30% per year.
On a six-million-transaction synthetic dataset, the proposed ensemble attains a recall of 0.9184 at a false-positive rate of 0.0186.
Global losses from electronic payment fraud are estimated to reach around USD 48 billion globally by 2025.