Graph Representation Learning - William L. Hamilton - Paperback - en Book

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Graph Representation Learning - William L. Hamilton - Paperback - en Book

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Graph Representation Learning - William L. Hamilton - Paperback - en Book

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CN¥269.00

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CN¥269.00

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Graph Representation Learning - William L. Hamilton - Paperback - en Book

Graph-structured Data Is Ubiquitous Throughout The Natural And Social Sciences, From Telecommunication Networks To Quantum Chemistry. Building Relational Inductive Biases Into Deep Learning Architectures Is Crucial For Creating Systems That Can Learn, Reason, And Generalize From This Kind Of Data. Recent Years Have Seen A Surge In Research On Graph Representation Learning, Including Techniques For Deep Graph Embeddings, Generalizations Of Convolutional Neural Networks To Graph-structured Data, And Neural Message-passing Approaches Inspired By Belief Propagation.
  • 品牌: Unbranded
  • 类别: 计算机与互联网
  • 语言: en
  • 作者: William L. Hamilton
  • 长度: 160
  • 出版社／标签: Springer Nature B.V
  • 格式: Paperback
  • Fruugo ID: 491706391-1015283517
  • ISBN: 9783031004605

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