Intelligent Vulnerability Detector using deep sequence and graph based Hybrid Feature Extraction This manuscript proposed a graph-based and sequence-based neural network model for detecting vulnerabilities in Java code, utilizing multiple program features，which addresses the detection problem of a range of vulnerabilities collected from the Common Weakness Enumeration (CWE) . It introduces GCN-RFEMLP for extracting graph-based features and employs CodeBERT for extracting sequence-based features ...