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Details for:
Deep Learning on Graphs
deep learning graphs
Type:
E-books
Files:
5
Size:
28.2 MB
Uploaded On:
Sept. 11, 2021, 9:21 a.m.
Added By:
tuts756
Seeders:
2
Leechers:
1
Info Hash:
FD6B3203E305D6C5E37101BAF1DE1C649531F8A1
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Description 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. Book Details Language: English Published: 2021 ISBN: 1108831745 Format: PDF
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Deep Learning on Graphs/Deep Learning on Graphs.pdf
28.2 MB
Downloaded from BookRAR.net.txt
62 bytes
Torrent Downloaded from Glodls.to.txt
237 bytes
Deep Learning on Graphs/BookRAR.net.txt
71 bytes
[TGx]Downloaded from torrentgalaxy.to .txt
585 bytes
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