TS-GGNN: Combining Graph and Sequence Features for Vulnerability Detection in Source Code

Author:

Zhou Xin1,Pang Jianmin1,Zhang Chunyan1,Yue Feng1,Wang Junchao1,Liu Guangming1

Affiliation:

1. State Key Laboratory of Mathematical Engineering and Advanced Computing,Zhengzhou,China

Publisher

IEEE

Reference14 articles.

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3. Devign: Effective vulnerability identification by learning comprehensive program semantics via graph neural networks[J];zhou;Advances in neural information processing systems,2019

4. KeyGraph: automatic indexing by co-occurrence graph based on building construction metaphor

5. Graph-to-Sequence Learning using Gated Graph Neural Networks

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