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Graph Neural Networks: Foundations, Frontiers, and Applications
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Pages: 701
Authors: Lingfei Wu
Categories: Computers
Type: BOOK - Published: 2022-01-03 - Publisher: Springer Nature

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Deep Learning models are at the core of artificial intelligence research today. It is well known that deep learning techniques are disruptive for Euclidean data
Graph Neural Networks: Foundations, Frontiers, and Applications
Language: en
Pages: 0
Authors: Lingfei Wu
Categories:
Type: BOOK - Published: 2022 - Publisher:

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Deep Learning models are at the core of artificial intelligence research today. It is well known that deep learning techniques are disruptive for Euclidean data
Deep Learning on Graphs
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Authors: Yao Ma
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Type: BOOK - Published: 2021-09-23 - Publisher: Cambridge University Press

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A comprehensive text on foundations and techniques of graph neural networks with applications in NLP, data mining, vision and healthcare.
Graph Representation Learning
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Authors: William L. William L. Hamilton
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Graph-structured data is ubiquitous throughout the natural and social sciences, from telecommunication networks to quantum chemistry. Building relational induct
Building Neural Networks
Language: en
Pages: 308
Authors: David M. Skapura
Categories: Computers
Type: BOOK - Published: 1996 - Publisher: Addison-Wesley Professional

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Organized by application areas, rather than by specific network architectures or learning algorithms, Building Neural Networks shows why certain networks are mo