Advances in Graph Neural Networks (Record no. 84775)
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| 000 -LEADER | |
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| fixed length control field | 04093nam a22005895i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-3-031-16174-2 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240730163607.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 221116s2023 sz | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9783031161742 |
| -- | 978-3-031-16174-2 |
| 082 04 - CLASSIFICATION NUMBER | |
| Call Number | 511.5 |
| 100 1# - AUTHOR NAME | |
| Author | Shi, Chuan. |
| 245 10 - TITLE STATEMENT | |
| Title | Advances in Graph Neural Networks |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st ed. 2023. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | XIV, 198 p. 41 illus., 36 illus. in color. |
| 490 1# - SERIES STATEMENT | |
| Series statement | Synthesis Lectures on Data Mining and Knowledge Discovery, |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Remark 2 | 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. . |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | 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. In addition, this book: Provides a comprehensive introduction to the foundations and frontiers of graph neural networks and also summarizes the basic concepts and terminology in graph modeling Utilizes graph data to describe pairwise relations for real-world data from many different domains, including social science, chemistry, and biology Presents heterogeneous graph representation learning alongside homogeneous graph representation and Euclidean graph neural networks methods . |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| General subdivision | Mathematics. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Wang, Xiao. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Yang, Cheng. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://doi.org/10.1007/978-3-031-16174-2 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 264 #1 - | |
| -- | Cham : |
| -- | Springer International Publishing : |
| -- | Imprint: Springer, |
| -- | 2023. |
| 336 ## - | |
| -- | text |
| -- | txt |
| -- | rdacontent |
| 337 ## - | |
| -- | computer |
| -- | c |
| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
| -- | cr |
| -- | rdacarrier |
| 347 ## - | |
| -- | text file |
| -- | |
| -- | rda |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Graph theory. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computer science. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computer science |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Neural networks (Computer science) . |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Data mining. |
| 650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Graph Theory. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computer Science. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Mathematical Applications in Computer Science. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Mathematical Models of Cognitive Processes and Neural Networks. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Data Mining and Knowledge Discovery. |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| -- | 2151-0075 |
| 912 ## - | |
| -- | ZDB-2-SXSC |
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