Can I read Graph Neural Networks in Action on EtoBox?

Graph Neural Networks in Action by Keita Broadwater, Namid Stillman is a nonfiction available to read on EtoBox.

What is Graph Neural Networks in Action about?

A hands-on guide to powerful graph-based deep learning models. In Graph Neural Networks in Action, you will learn how to: • Train and deploy a graph neural network • Generate node embeddings • Use GNNs at scale for very large datasets • Build a graph data pipeline • Create a graph data schema • Understand the taxonomy of GNNs • Manipulate graph data with NetworkX Graph Neural Networks in Action teaches you to create powerful deep learning models for working with graph data. You’ll learn how to both design and train your models, and how to develop them into practical applications you can deploy to production. Go hands-on and explore relevant real-world projects as you dive into graph neural networks perfect for node prediction, link prediction, and graph classification. Inside this practical guide, you’ll explore common graph neural network architectures and cutting-edge libraries, all clearly illustrated with well-annotated Python code. About the technology Graph neural networks expand the capabilities of deep learning beyond traditional tabular data, text, and images. This exciting new approach brings the amazing capabilities of deep learning to graph data structures, opening up n

Who reads Graph Neural Networks in Action?

Author

Keita Broadwater, Namid Stillman

Publisher

Manning Publications Co. LLC; Manning

Published

2025

Language

EN

ISBN

9781617299056

Category

nonfiction

Subjects

Computer Science, Artificial Intelligence (Ai), Stem