<title>Abstract</title> Thriving and widespread use of the open-source software community makes software vulnerabilities spread a lot, which brings serious challenges to the system security. Recently, a number of vulnerability detection methods based on deep learning have been proposed to help engineers analyze and patch vulnerabilities efficiently. However, these existing approaches still suffer from limitations in extracting rich features from vulnerability code. Aiming at the above problems, we propose VulD-SG,…