Description:
Hardback. New. This comprehensive text on the theory and techniques of graph neural networks takes students, practitioners, and researchers from the basics to the state of the art. It systematically introduces foundational topics such as filtering pooling, robustness, and scalability and then demonstrates applications in NLP, data mining, vision and healthcare.
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Details
- Title Deep Learning on Graphs
- Author Yao Ma; Jiliang Tang
- Binding Hardcover
- Pages 400
- Volumes 1
- Language ENG
- Publisher Cambridge University Press
- Date 2021-12-09
- Illustrated Yes
- Features Bibliography, Illustrated
- ISBN 9781108831741 / 1108831745
- Weight 1.3 lbs (0.59 kg)
- Dimensions 9.2 x 6.3 x 0.9 in (23.37 x 16.00 x 2.29 cm)
- Library of Congress subjects Machine learning, Graph algorithms
- Dewey Decimal Code 006.31
Media reviews
Citations
- Choice, 11/01/2022, Page 0
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Deep Learning on Graphs
by Yao Ma
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Deep Learning on Graphs
by Yao Ma , Jiliang Tang
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Cambridge University Press, 2021. Hardcover. New. 400 pages. 9.25x6.18x0.91 inches.
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Deep Learning on Graphs
by Jiliang (Michigan State University) Tang
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Hardback. New. New Book; Fast Shipping from UK; Not signed; Not First Edition; This comprehensive text on the theory and techniques of graph neural networks takes students, practitioners, and researchers from the basics to the state of the art. It systematically introduces foundational topics such as filtering poo
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Deep Learning on Graphs
by Yao Ma , Jiliang Tang
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Cambridge University Press, 2021. Hardcover. New. 400 pages. 9.25x6.18x0.91 inches.
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Deep Learning on Graphs
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Deep Learning on Graphs
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by Yao Ma
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