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Advances In Graph Neural Networks Chuan Shi Xiao Wang Cheng Yang

Name: Advances In Graph Neural Networks Chuan Shi Xiao Wang Cheng Yang
SKU: BELL-47284194
Price: 31.00 USD
Availability: InStock
Rating: 4.7 (106 reviews)

SKU: BELL-47284194

$ 31.00 ~~$ 45.00~~ (-31%)

4.7

106 reviews

Advances In Graph Neural Networks Chuan Shi Xiao Wang Cheng Yang instant download after payment.

Publisher: Springer

File Extension: PDF

File size: 5.46 MB

Pages: 206

Author: Chuan Shi, Xiao Wang, Cheng Yang

ISBN: 9783031161735, 3031161734

Language: English

Year: 2022

Product desciption

Advances In Graph Neural Networks Chuan Shi Xiao Wang Cheng Yang by Chuan Shi, Xiao Wang, Cheng Yang 9783031161735, 3031161734 instant download after payment.

This book provides a comprehensive introduction to the foundations and frontiers of graph neural networks. In addition, the book introduces the basic concepts and definitions in graph representation learning and discusses the development of advanced graph representation learning methods with a focus on graph neural networks. The book providers researchers and practitioners with an understanding of the fundamental issues as well as a launch point for discussing the latest trends in the science. The authors emphasize several frontier aspects of graph neural networks and utilize graph data to describe pairwise relations for real-world data from many different domains, including social science, chemistry, and biology. Several frontiers of graph neural networks are introduced, which enable readers to acquire the needed techniques of advances in graph neural networks via theoretical models and real-world applications.