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
8 - Graph Neural Networks for Complex Graphs
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
- Type
- Chapter
- Information
- Deep Learning on Graphs , pp. 176 - 187Publisher: Cambridge University PressPrint publication year: 2021