Opening book details…
Can I read Graph Neural Networks in Action (MEAP Version 4) on EtoBox?
Graph Neural Networks in Action (MEAP Version 4) by Keita Broadwater, Namid Stillman is a nonfiction available to read on EtoBox.
What is Graph Neural Networks in Action (MEAP Version 4) about?
A hands-on guide to powerful graph-based deep learning models! Learn how to build cutting-edge graph neural networks for recommendation engines, molecular modeling, and more. In Graph Neural Networks in Actio n, you will learn how Graph Neural Networks in Action teaches you to create powerful deep learning models for working with graph data. Youll 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, youll explore common graph neural network architectures and cutting-edge libraries, all clearly illustrated with well-annotated Python code. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. 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 everyth
Who reads Graph Neural Networks in Action (MEAP Version 4)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Keita Broadwater, Namid Stillman
- Publisher
- Manning Publications Co. LLC; Manning
- Published
- 2023
- Language
- EN
- ISBN
- 9781617299056
- Category
- nonfiction
- Subjects
- Computer Science, Artificial Intelligence (Ai), Stem
Other editions & translations
More by Keita Broadwater, Namid Stillman
Browse all works by Keita Broadwater, Namid Stillman
Similar books
- Introduction to Graph Neural Networks — Zhiyuan Liu (2020)
- Graph Algorithms for Data Science MEAP V08 — Tomaz Bratanic (2023)
- Responsible Graph Neural Networks — Mohamed Abdel-Basset, Nour Moustafa, Hossam Hawash, Zahir Tari (2023)
- Neural Networks || — Professor Dr. Berndt Müller, Dr. Joachim Reinhardt, Michael T. Strickland (auth.) (1995)
- Graph Databases in Action : Examples in Gremlin — Dave Bechberger; Josh Perryman; Bechberger, Dave; Perryman, Josh (2020)
- Graph Neural Networks in Action — copyright-2020-manning-publications.html