Advances in Graph Neural Networks Paperback / softback
by Chuan Shi, Xiao Wang, Cheng Yang
Part of the Synthesis Lectures on Data Mining and Knowledge Discovery series
Paperback / softback
Description
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.
Information
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Out of stock
- Format:Paperback / softback
- Pages:198 pages, 36 Illustrations, color; 5 Illustrations, black and white; XIV, 198 p. 41 illus., 36 illu
- Publisher:Springer International Publishing AG
- Publication Date:18/11/2023
- Category:
- ISBN:9783031161766
Other Formats
- Hardback from £40.39
Information
-
Out of stock
- Format:Paperback / softback
- Pages:198 pages, 36 Illustrations, color; 5 Illustrations, black and white; XIV, 198 p. 41 illus., 36 illu
- Publisher:Springer International Publishing AG
- Publication Date:18/11/2023
- Category:
- ISBN:9783031161766
