A Research and Development Portfolio of GNN Centric Malware Detection, Explainability, and Dataset Curation
Graph Neural Networks GNNs have become an effective tool for malware detection by capturing program execution through graph-structured representations. However, important challenges remain regarding scalability, interpretability, and the availability of reliable datasets. This paper brings togeth...