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Deep Learning on Graphs
Yao Ma, Jiliang Tang你有多喜欢这本书?
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Deep learning on graphs has become one of the hottest topics in machine learning. The book consists of four parts to best accommodate our readers with diverse backgrounds and purposes of reading. Part 1 introduces basic concepts of graphs and deep learning; Part 2 discusses the most established methods from the basic to advanced settings; Part 3 presents the most typical applications including natural language processing, computer vision, data mining, biochemistry and healthcare; and Part 4 describes advances of methods and applications that tend to be important and promising for future research. The book is self-contained, making it accessible to a broader range of readers including (1) senior undergraduate and graduate students; (2) practitioners and project managers who want to adopt graph neural networks into their products and platforms; and (3) researchers without a computer science background who want to use graph neural networks to advance their disciplines.
年:
2021
出版社:
Cambridge University Press
语言:
english
页:
400
ISBN 10:
1108831745
ISBN 13:
9781108831741
文件:
PDF, 26.89 MB
您的标签:
IPFS:
CID , CID Blake2b
english, 2021
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