DSHGT: Dual-Supervisors Heterogeneous Graph Transformer - A pioneer study of using heterogeneous graph learning for detecting software vulnerabilities.
Tiehua ZhangRui XuJianping ZhangYuzhe TianXin ChenXiaowei HuangJun YinXi ZhengPublished in: CoRR (2023)
Keyphrases
- graph structure
- empirical studies
- learning algorithm
- learning process
- graph model
- learning systems
- graph theory
- graph matching
- graph representation
- supervised learning
- software systems
- directed graph
- graph theoretic
- directed acyclic graph
- learning tasks
- connected components
- structured data
- random walk
- computer assisted instruction
- university students
- high school students
- computer networking
- online learning
- software development
- user interface
- reinforcement learning