BriefGPT.xyz
Oct, 2020
使用指针注意图神经网络学习执行程序
Learning to Execute Programs with Instruction Pointer Attention Graph Neural Networks
HTML
PDF
David Bieber, Charles Sutton, Hugo Larochelle, Daniel Tarlow
TL;DR
本文介绍了一种新颖的GNN架构——IPAGNN,可以更好地学习使用控制流程图执行程序的任务,通过测试结果表明,其在系统性总结和部分程序执行的任务上比多种RNN和GNN基线模型表现更好。
Abstract
graph neural networks
(GNNs) have emerged as a powerful tool for learning
software engineering
tasks including code completion, bug finding, and program repair. They benefit from leveraging
→