Cong Bui Van

SGRL: A Hybrid Semantic-Graph Representation Learning Framework for Software Vulnerability Detection

The increasing scale and complexity of software increase the risk of security vulnerabilities, creating a need for automated and effective detection methods. Transformer-based methods can learn semantic representations but do not fully exploit structural information, whereas graph neural network-based methods remain li...