Book contents
- Frontmatter
- Contents
- Preface
- Acknowledgements
- 1 Deep Learning on Graphs: An Introduction
- Part I Foundations
- Part II Methods
- 4 Graph Embedding
- 5 Graph Neural Networks
- 6 Robust Graph Neural Networks
- 7 Scalable Graph Neural Networks
- 8 Graph Neural Networks for Complex Graphs
- 9 Beyond GNNs: More Deep Models on Graphs
- Part III Applications
- Part IV Advances
- Bibliography
- Index
5 - Graph Neural Networks
from Part II - Methods
Published online by Cambridge University Press: 02 September 2021
- Frontmatter
- Contents
- Preface
- Acknowledgements
- 1 Deep Learning on Graphs: An Introduction
- Part I Foundations
- Part II Methods
- 4 Graph Embedding
- 5 Graph Neural Networks
- 6 Robust Graph Neural Networks
- 7 Scalable Graph Neural Networks
- 8 Graph Neural Networks for Complex Graphs
- 9 Beyond GNNs: More Deep Models on Graphs
- Part III Applications
- Part IV Advances
- Bibliography
- Index
Summary
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- Chapter
- Information
- Deep Learning on Graphs , pp. 107 - 137Publisher: Cambridge University PressPrint publication year: 2021
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