• Title Deep Learning on Graphs
• Author(s) Yao Ma, Jiliang Tang
• Publisher: Cambridge University Press; 1st edition (December 9, 2021); eBook (Online Version - Preprint)
• Permission: This is the online version (Preprint) of the published book. It's Free!
• Hardcover/Paperback: 400 pages
• eBook: PDF
• Language: English
• ISBN-10: 1108831745
• ISBN-13: 978-1108831741
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Book Description

A comprehensive text on foundations and techniques of Graph Neural Networks with applications in NLP, data mining, vision and healthcare.

Deep learning on graphs has become one of the hottest topics in machine learning. The book is self-contained, making it accessible to who want to use graph neural networks to advance their disciplines.

• Yao Ma is a PhD student of the Department of Computer Science and Engineering at Michigan State University.

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• Deep Learning and Neural Networks
• Machine Learning
• Data Science
• Artificial Intelligence
• Data Analysis and Data Mining

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