GraphTyper: Neural Types Inference from Code Represented as Graph

German Arsenovich ARUTYUNOV; Sergey Mikchailovitch AVDOSHIN

Proceedings of the Institute for System Programming of the RAS (Proceedings of ISP RAS)
Trudy Instituta sistemnogo programmirovaniâ

ISSN 2079-8156 (Print)
ISSN 2220-6426 (Online)

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Proceedings of the Institute for System Programming of the RAS (Proceedings of ISP RAS)

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ARUTYUNOV G.A., AVDOSHIN S.M. GraphTyper: Neural Types Inference from Code Represented as Graph. Proceedings of the Institute for System Programming of the RAS (Proceedings of ISP RAS). 2024;36(4):69-80. (In Russ.) https://doi.org/10.15514/ISPRAS-2024-36(4)-6

This work is licensed under a Creative Commons Attribution 4.0 License.

ISSN 2079-8156 (Print)
ISSN 2220-6426 (Online)

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About the Authors

German Arsenovich ARUTYUNOV
HSE University
Russian Federation

Master’s graduate at the Faculty of Computer Science at HSE University. Research interests include programming language generation and programming language understanding using machine learning and deep neural networks.

Sergey Mikchailovitch AVDOSHIN
HSE University
Russian Federation

Cand. Sci. (Tech.), Professor of the School of Computer Engineering at Tikhonov Moscow Institute of Electronics and Mathematics HSE University. Research interests include design and analysis of computer algorithms, simulation and modeling, parallel and distributed processing, machine learning.

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Proceedings of the Institute for System Programming of the RAS (Proceedings of ISP RAS)

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