Ego-Separated Fraud Scoring Layer for Transaction Graphs

A drop-in GNN layer for fraud models that stops fraudster signals from bleeding into legitimate customers' scores by keeping each account's own data separate from its neighbors' and letting suspicious neighbors subtract from, rather than add to, the risk score.