Abstract: This paper looks into the innovative ways that Graph Neural Networks (GNNs) are impacting security in Infrastructure as Code (IaC), especially regarding finding faults, automating security ...
Abstract: Code Large Language Models (CodeLLMs) have demonstrated impressive proficiency in code completion tasks. However, they often fall short of fully understanding the extensive context of a ...
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Paper: Graph Representation of 3D CAD Models for Machining Feature Recognition With Deep Learning The MFCAD (Machining Feature CAD) dataset is a comprehensive collection of 3D CAD models with labeled ...