Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Advances in Graph Neural Networks

Advances in Graph Neural Networks

Shi, Chuan
Wang, Xiao
Yang, Cheng

Paperback

Series: Synthesis Lectures on Data Mining and Knowledge Discovery

General ComputersGeneral Mathematics

ISBN10: 3031161769
ISBN13: 9783031161766
Publisher: Springer Nature
Published: Nov 18 2023
Pages: 198
Weight: 0.77
Height: 0.45 Width: 6.69 Depth: 9.61
Language: English
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.

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