[1] |
Allamanis, Miltiadis, Marc Brockschmidt, and Mahmoud Khademi.
Learning to represent programs with graphs.
ICLR, 2018.
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[2] |
Miltadis et al.
A survey of machine learning for big code and naturalness.
ACM Computing Surveys, 2018.
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[3] |
Marc Brockschmidt, Miltiadis Allamanis, Alexander L. Gaunt, Oleksandr Polozov.
Generative code modeling with graphs.
ICLR, 2019.
|
[4] |
Cvitkovic, Milan, Badal Singh, and Anima Anandkumar.
Open Vocabulary Learning on Source Code with a Graph-Structured Cache.
CoRR, arXiv:1810.08305 2018.
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[5] |
Fernandes, Patrick, Miltiadis Allamanis, and Marc Brockschmidt.
Structured Neural Summarization.
ICLR, 2019.
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[6] |
Yujia Li, Daniel Tarlow, Marc Brockschmidt, Richard Zemel.
Gated graph sequence neural networks.
ICLR, 2016.
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