We combined the static features, spatial features, and deep neural networks by representing source code as graphs and trained Graph Neural Network (GNN) for automatically finding suitable optimization ...
Identifying Root Cause of Bugs by Capturing Changed Code Lines With Relational Graph Neural Networks
Abstract: The Just-In-Time defect prediction model helps development teams improve software quality and efficiency by assessing whether code changes submitted by developers are likely to introduce ...
Abstract: Molecule graph generation plays a crucial role in the field of drug discovery, as it can significantly expedite the identification and development of potential drug candidates. Although many ...
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