Python boasts a rich ecosystem of libraries for data visualization, such as Matplotlib, Seaborn, and Plotly. These libraries come with a variety of functions and methods to create customizable graphs.

The Microsoft Graph Core Python Client Library contains core classes used by Microsoft Graph Python Client Library to send native HTTP requests to Microsoft Graph API. To call Microsoft Graph, your ...

Note: A complete graph G(n) is a graph with ‘n’ vertices such that there exists exactly one edge joining each pair of the vertices. Image source. Graphs I and II in the above figure are complement of ...

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 ...

To get the most out of the book, basic knowledge of Python, including pandas and NumPy, as well as some experience working with datasets is required. This book is also ideal for anyone interested in ...

Meet Graphiti: a Python library for building temporal Knowledge Graphs. Graphiti is designed specifically to manage evolving relationships over time by capturing and recording changes in facts and ...

Many neural network models on graphs — or graph neural networks (GNNs) — have been proposed, and many have achieved convincing results on both conventional graph tasks such as social networks and ...