Graph Learning Techniques

Baoling Shan is currently a Lecturer at University of Science and Technology Beijing, Beijing, China.Xin Yuan is currently a Senior Research Scientist at CSIRO, Sydney, NSW, Australia, and an Adjunct Senior Lecturer at the University of New South Wales.Wei Ni is a Principal Research Scientist at CSIRO, Sydney, Australia, a Fellow of IEEE, a Conjoint Professor at the University of New South Wales, an Adjunct Professor at the University of Technology Sydney, and an Honorary Professor at Macquarie University.Ren Ping Liu is a Professor and the Head of the Discipline of Network and Cybersecurity, University of Technology Sydney (UTS), Ultimo, NSW, Australia.Eryk Dutkiewicz is currently the Head of School of Electrical and Data Engineering at the University of Technology Sydney, Australia. He is a Senior Member of IEEE and his research interests cover 5G/6G and IoT networks.

• Table of ContentsAbstractList of FiguresList of TablesContributors1. Introduction 2. Privacy Considerations in Graph and Graph Learning3. Existing Technologies of Graph Learning4. Graph Extraction and Topology Learning of Band-limited Signals5. Graph Learning from Band-Limited Data by Graph Fourier Transform Analysis6. Graph Topology Learning of Brain Signals7. Graph Topology Learning of COVID-198. Preserving the Privacy of Latent Information for Graph-Structured Data9. Future Directions and Challenges10. AppendixBibliographyIndex