Unsupervised Graph Neural Networks for Source Code Similarity Detection

Julien Cassagne, Ettore Merlo, Paula Branco, Guy-Vincent Jourdan, Iosif-Viorel Onut

Paper (2023)

Access this document
External link
An external link is available for this item
View at the official publisher
Department:
Department of Computer Engineering and Software Engineering
PolyPublie URL:
https://publications.polymtl.ca/56868/
Conference Title:
26th International Conference on Discovery Science (DS 2023)
Conference Location:
Porto, Portugal
Conference Date(s):
2023-10-09 - 2023-10-11
Publisher:
Springer
DOI:
10.1007/978-3-031-45275-8_36
Official URL:
https://doi.org/10.1007/978-3-031-45275-8_36
OAI:
oai:publications.polymtl.ca:56868
ORCID
Date Deposited:
20 Dec 2023 11:33
Last Modified:
14 Oct 2026 14:16
Cite in APA 7:
Cassagne, J., Merlo, E., Branco, P., Jourdan, G.-V., & Onut, I.-V. (2023, October). Unsupervised Graph Neural Networks for Source Code Similarity Detection [Paper]. 26th International Conference on Discovery Science (DS 2023), Porto, Portugal. https://doi.org/10.1007/978-3-031-45275-8_36

Statistics

Dimensions

Repository Staff Only

View Item
View Item