GitHub

GitHub - williamsonrichard/records_in_contexts_draw_io_parser: For parsing a graph created in draw.io using the Records in Contexts shape library to formal OWL · GitHub

Defines a command line Python application for parsing a draw.io graph created using the Records in Contexts shape library, or at least according to the graphical semantics defined in that library, to ...
note

Let's Create a Program to Draw Function Graphs with Python (tkinter) (Advanced Edition)

This article is a continuation of the previous one. If you haven't seen the previous article, please view it from the link below. As an advanced edition, this time we will add various features to 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 ...