BugGraph: Differentiating Source-Binary Code Similarity with Graph Triplet-Loss Network

Research article (Proceedings of the 2021 ACM Asia Conference on Computer and Communications Security, 2021) · cited 35× · AI/ML
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BugGraph: Differentiating Source-Binary Code Similarity with Graph Triplet-Loss Network

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BugGraph: Differentiating Source-Binary Code Similarity with Graph Triplet-Loss Network is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). BugGraph: Differentiating Source-Binary Code Similarity with Graph Triplet-Loss Network. Retrieved May 24, 2026, from https://4ort.xyz/entity/buggraph-differentiating-source-binary-code-similarity-with-graph-triplet-loss-network
MLA “BugGraph: Differentiating Source-Binary Code Similarity with Graph Triplet-Loss Network.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/buggraph-differentiating-source-binary-code-similarity-with-graph-triplet-loss-network.
BibTeX @misc{4ortxyz_buggraph-differentiating-source-binary-code-similarity-with-graph-triplet-loss-network_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{BugGraph: Differentiating Source-Binary Code Similarity with Graph Triplet-Loss Network}}, year = {2026}, url = {https://4ort.xyz/entity/buggraph-differentiating-source-binary-code-similarity-with-graph-triplet-loss-network}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): BugGraph: Differentiating Source-Binary Code Similarity with Graph Triplet-Loss Network — https://4ort.xyz/entity/buggraph-differentiating-source-binary-code-similarity-with-graph-triplet-loss-network (retrieved 2026-05-24)

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