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Deep Learning on Graphs Ma, Yao (Michigan State University)
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Deep Learning on Graphs
Ma, Yao (Michigan State University)
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.
400 pages, Worked examples or Exercises
| Media | Books Hardcover Book (Book with hard spine and cover) |
| Released | September 23, 2021 |
| ISBN13 | 9781108831741 |
| Publishers | Cambridge University Press |
| Pages | 400 |
| Dimensions | 236 × 158 × 25 mm · 586 g |
| Language | English |
