Advances in Graph Neural Networks
Produktnummer:
18d3a0efceee6e4f3a974fddee00a8a558
| Autor: | Shi, Chuan Wang, Xiao Yang, Cheng |
|---|---|
| Themengebiete: | Data Mining Distilling Graph Neural Networks Dynamic Graphs Graph Neural Networks Graph Structure Learning Heterogeneous Graphs Homogeneous Graphs Intelligent Telecommunications Knowledge Discovery Machine Learning |
| Veröffentlichungsdatum: | 17.11.2022 |
| EAN: | 9783031161735 |
| Sprache: | Englisch |
| Seitenzahl: | 198 |
| Produktart: | Gebunden |
| Verlag: | Springer International Publishing |
Produktinformationen "Advances in Graph Neural Networks"
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.
Sie möchten lieber vor Ort einkaufen?
Sie haben Fragen zu diesem oder anderen Produkten oder möchten einfach gerne analog im Laden stöbern? Wir sind gerne für Sie da und beraten Sie auch telefonisch.
Juristische Fachbuchhandlung
Georg Blendl
Parcellistraße 5 (Maxburg)
8033 München
Montag - Freitag: 8:15 -18 Uhr
Samstags geschlossen