Detecting code vulnerabilities with heterogeneous GNN training
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DOI: 10.1007/s10207-025-01132-x
Abstract: Detecting vulnerabilities in source code is a critical task for software security assurance. Graph Neural Network (GNN) machine learning can be a promising approach by modeling source code as graphs. Early approaches treated code elements… read more here.
Keywords: gnn training; detecting code; heterogeneous gnn; code ... See more keywords