ReGVD: Revisiting Graph Neural Networks for Vulnerability Detection
Author:
Affiliation:
1. VNU - University of Science,Vietnam
2. Oracle Labs,Australia
3. Monash University,Australia
4. Adobe Research,San Jose,CA,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9793374/9793729/09793807.pdf?arnumber=9793807
Reference30 articles.
1. Devign: Effective Vulnerability Identification by Learning Comprehensive Program Semantics via Graph Neural Networks;zhou;NeurIPS,2019
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3. Convolutional Neural Networks for Sentence Classification
4. Adam: A Method for Stochastic Optimization;kingma,2014
5. Semi-Supervised Classification with Graph Convolutional Networks;kipf;ICLRE,2017
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