Graph Learning Techniques
Autor Baoling Shan, Xin Yuan, Wei Ni, Ren Ping Liu, Eryk Dutkiewiczen Limba Engleză Paperback – 20 feb 2025
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Specificații
ISBN-13: 9781032851129
ISBN-10: 1032851120
Pagini: 200
Ilustrații: 244
Dimensiuni: 156 x 234 mm
Ediția:1
Editura: CRC Press
Colecția CRC Press
ISBN-10: 1032851120
Pagini: 200
Ilustrații: 244
Dimensiuni: 156 x 234 mm
Ediția:1
Editura: CRC Press
Colecția CRC Press
Public țintă
Professional Practice & Development, Professional Training, and Undergraduate AdvancedCuprins
Table of Contents
Abstract
List of Figures
List of Tables
Contributors
1. Introduction
2. Privacy Considerations in Graph and Graph Learning
3. Existing Technologies of Graph Learning
4. Graph Extraction and Topology Learning of Band-limited Signals
5. Graph Learning from Band-Limited Data by Graph Fourier Transform Analysis
6. Graph Topology Learning of Brain Signals
7. Graph Topology Learning of COVID-19
8. Preserving the Privacy of Latent Information for Graph-Structured Data
9. Future Directions and Challenges
10. Appendix
Bibliography
Index
Abstract
List of Figures
List of Tables
Contributors
1. Introduction
2. Privacy Considerations in Graph and Graph Learning
3. Existing Technologies of Graph Learning
4. Graph Extraction and Topology Learning of Band-limited Signals
5. Graph Learning from Band-Limited Data by Graph Fourier Transform Analysis
6. Graph Topology Learning of Brain Signals
7. Graph Topology Learning of COVID-19
8. Preserving the Privacy of Latent Information for Graph-Structured Data
9. Future Directions and Challenges
10. Appendix
Bibliography
Index
Notă biografică
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.
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.
Descriere
This comprehensive guide addresses key challenges at the intersection of data science, graph learning, and privacy preservation. A valuable reference for advance undergraduate and postgraduate students in Network Analysis, Privacy and Security in Data Analytics, Graph Theory, and Applications in Healthcare.