AI tools are frequently used in data visualization — this article describes how they can make data preparation more efficient ...

Abstract: Code search aims to retrieve semantically relevant code snippets on the basis of natural language queries. With the rapid expansion of public code repositories such as GitHub and Gitee, the ...

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 ...

The subgraphs for training are preprocessed with motif detection and stored in different files in this code. We provide StackOverflow as an example. The 1h scale can be used directly, while the 5h and ...

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 ...