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Learning Graph-based Code Representations for Source-level Functional Similarity Detection

Research article (2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE), 2023) · cited 27× · AI/ML
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Learning Graph-based Code Representations for Source-level Functional Similarity Detection

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Learning Graph-based Code Representations for Source-level Functional Similarity Detection is a scholarly article[1].

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  • Learning Graph-based Code Representations for Source-level Functional Similarity Detection's instance of is recorded as scholarly article[2].

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Learning Graph-based Code Representations for Source-level Functional Similarity Detection. Retrieved May 24, 2026, from https://4ort.xyz/entity/learning-graph-based-code-representations-for-source-level-functional-similarity-detection
MLA “Learning Graph-based Code Representations for Source-level Functional Similarity Detection.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/learning-graph-based-code-representations-for-source-level-functional-similarity-detection.
BibTeX @misc{4ortxyz_learning-graph-based-code-representations-for-source-level-functional-similarity-detection_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Learning Graph-based Code Representations for Source-level Functional Similarity Detection}}, year = {2026}, url = {https://4ort.xyz/entity/learning-graph-based-code-representations-for-source-level-functional-similarity-detection}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Learning Graph-based Code Representations for Source-level Functional Similarity Detection — https://4ort.xyz/entity/learning-graph-based-code-representations-for-source-level-functional-similarity-detection (retrieved 2026-05-24)

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