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Youssef Said

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Open access Sep 2026

GasGAT: a graph attention network framework for smart contract gas optimization

GasGAT is a deep learning framework that models smart contracts as semantic graphs and leverages a Graph Attention Network (GAT) to detect gas-intensive code patterns and represents a paradigm shift from traditional detection methods toward explainable, graph-based reasoning for gas optimization, enabling developers to...

Youssef Said, A. M. Khaddar, Lahcen Hassine et al. · 0 citations

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