Welcome to the complete code implementation for the book Hands-On Graph Neural Networks Using Python. This repository contains all the code examples from the book, organized into chapters for easy ...

Call graphs are a vital tool for understanding the complex interactions within your Python code. Think of them as a roadmap, where each node represents a function, and the edges show the calls ...

Python allows you to save graphs in various formats like PNG, JPG, SVG, or even PDF for reports. You can automate this by adding a few lines of code to your script that specify the file path and ...

The types of graphs that can make through the python_graphs library are – abstract syntax tree (AST), control-flow graph (CFG), data-flow graphs, inter-procedural control-flow graph (ICFG), interval ...

Graph neural networks are a highly effective tool for analyzing data that can be represented as a graph, such as social networks, chemical compounds, or transportation networks. The past few years ...