Keita Broadwater Namid Stillman Graph Neural Networks in Action (Paperback)Another great item from Rarewaves USA | Free delivery!
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Keita Broadwater Namid Stillman Graph Neural Networks in Action (Paperback). You will learn how to both design and train your models, and how to develop them into practical applications you can deploy to production. Title: Graph Neural Networks in Action. Train and deploy a graph neural network. Further DetailsTitle: Graph Neural Networks in Action Condition: New Author: Keita Broadwater, Namid Stillman Format: Paperback ISBN-10: 1617299057 EAN: 9781617299056 ISBN: 9781617299056 Publisher: Manning Publications Genre: Computing & Internet Topic: Technology & Engineering Release Date: 05/13/2025 Description: A hands-on guide to powerful graph-based deep learning models! Graph Neural Networks in Action is a great guide about how to build cutting-edge graph neural networks and powerful deep learning models for recommendation engines, molecular modeling, and more. You will learn how to both design and train your models, and how to develop them into practical applications you can deploy to production. Ideal for Python programmers, you will also explore common graph neural network architectures and cutting-edge libraries, all clearly illustrated with well-annotated Python code. The main features include: 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 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. 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 new possibilities for everything – from recommendation engines to pharmaceutical research. Language: English Country/Region of Manufacture: US Item Height: 234mm Item Length: 187mm Item Width: 23mm Item Weight: 720g Type: Higher Education Release Year: 2025 Missing Information?Please contact us if any details are missing and where possible we will add the information to our listing.
