The platform supports Python 3, ensuring compatibility with modern Python syntax and features like type hinting, list comprehensions, and libraries such as `collections`, `itertools`, and `math`.

A good graph data model can make all the difference to solutions and services like these, both increasing efficiency and enabling complex network analysis to uncover hidden insights in your data. In ...

It enables users to write pure Python code to project graphs, run algorithms, as well as define and use machine learning pipelines in GDS. The API is designed to mimic the GDS Cypher procedure API in ...

Hands-On Graph Neural Networks Using Python begins with the fundamentals of graph theory and shows you how to create graph datasets from tabular data. As you advance, you’ll explore major graph neural ...