When you dive into Python programming, you'll quickly realize that efficiency is key. But how do you pinpoint where your code might be slowing down? Enter call graphs, a visual representation of ...

especially because it could easily be useful for looking at graph databases. His source code is implemented in Java, which I have never liked, so I decided to try implementing his pseudo code in ...

Therefore, to protect the code security, the Python open-source code traceability model based on graph neural networks is proposed to calculate the similarity between the programmers' Python code and ...

Contains Jupyter notebooks for generating two forms of ARG (runs in Python >=3.5): A network graph visualizing the stages of revisions and changes made from one draft to another at a sentence level.

Abstract: The application of Graph Neural Networks for pre-training models for source code is not well studied. We experimented with pre-training a Graph Neural Network model for Python on tasks of ...