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Graph neural networks foundations, frontiers, and applications

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, such as images or sequence data, and not immediately applicable to graph-structured data such as text. This gap has driven a wave of resea...

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Bibliographic Details
Other Authors: Wu, Lingfei (Editor), Cui, Peng (Editor), Pei, Jian (Editor), Zhao, Liang (Editor)
Format: Book
Language:English
Published: Singapore Springer 2022
Subjects:
Neural networks (Computer science)
Neural networks (Computer science) > Design and construction
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