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Author

Riko Luša

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Open access 2026

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...

Riko Luša, Damir Pintar, Mihaela Vranić · 0 citations

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