Advances in Graph Neural Networks by Chuan Shi Paperback Book-image

Advances in Graph Neural Networks by Chuan Shi Paperback Book

$ 64.62

ISBN-13: 9783031161766 ISBN: 9783031161766 Type: Does not apply gtin13: 9783031161766 Author: Chuan Shi, Xiao Wang, Cheng Yang Format: Paperback Book Title: Advances in Graph Neural Networks Language: Does not apply

Description

The Nile on eBay FREE SHIPPING UK WIDE Advances in Graph Neural Networks by Chuan Shi, Xiao Wang, Cheng Yang 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. FORMAT Paperback CONDITION Brand New Publisher 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. Table of Contents Introduction.- Fundamental Graph Neural Networks.- Homogeneous Graph Neural Networks.- Heterogeneous Graph Neural Networks.- Dynamic Graph Neural Networks.- Hyperbolic Graph Neural Networks.- Distilling Graph Neural Networks.- Platforms and Practice of Graph Neural Networks.- Future Direction and Conclusion.- References. Details ISBN 3031161769 Author Cheng Yang Pages 198 Publisher Springer International Publishing AG Series Synthesis Lectures on Data Mining and Knowledge Discovery Year 2023 ISBN-13 9783031161766 Format Paperback Imprint Springer International Publishing AG Place of Publication Cham Country of Publication Switzerland Alternative 9783031161735 DEWEY 006.32 Audience Professional & Vocational Publication Date 2023-11-18 ISBN-10 3031161769 UK Release Date 2023-11-18 Edition Description 2023 ed. Edition 2023rd Country of Origin NL Product Class Description Mathematics Illustrations 36 Illustrations, color; 5 Illustrations, black and white We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! 30 DAY RETURN POLICY No questions asked, 30 day returns! FREE DELIVERY No matter where you are in the UK, delivery is free. SECURE PAYMENT Peace of mind by paying through PayPal and eBay Buyer Protection TheNile_Item_ID:158845938;

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