GitHub

Hands-On Graph Neural Networks Using Python

What is this book about? 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 ...
GitHub

arita37/pyan-python-call-graph

Generate approximate call graphs for Python programs. Pyan takes one or more Python source files, performs a (rather superficial) static analysis, and constructs a directed graph of the objects in the ...
IEEE

Graph Data Modeling in Python: A practical guide to curating, analyzing, and modeling data with graphs

Graphs have become increasingly integral to powering the products and services we use in our daily lives, driving social media, online shopping recommendations, and even fraud detection. With this ...
IEEE

Hands-On Graph Neural Networks Using Python: Practical techniques and architectures for building powerful graph and deep learning apps with PyTorch

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 ...