SemVul: Semantic-enhanced graph neural networks for code property graph-based vulnerability detection
This study evaluated existing research approaches and proposed SemVul, a vulnerability detection pipeline that demonstrates better generalization and higher accuracy in learning vulnerable code patterns, and is generic with respect to the programming language and supports multiple architectures.