SHAP-GSD: Temporal Multi-Granular Explanation Method for Graph Neural Networks in Network Intrusion Detection
SHapley Additive exPlanations on Graph-Structured Data (SHAP-GSD), a temporally constrained Shapley framework that decomposes each alert into three attribution layers, is presented, the first Shapley formulation to simultaneously deliver temporally faithful, multi-granularity attribution across all three evidence dimen...