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 ...
GitHub

Directed Weighted Graph implementation in Python

This project was created for OOP class, October 2021, in Ariel University. Its an implementation of a Directed Weighted Graph in python. There are two main files: DiAlgo.py and GraphAlgo.py: Contains ...
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 ...
IEEE

Modern Graph Theory Algorithms with Python: Harness the power of graph algorithms and real-world network applications using Python

We are living in the age of big data, and scalable solutions are a necessity. Network science leverages the power of graph theory and flexible data structures to analyze big data at scale. This book ...