Graph Learning Techniques
$173.61
- Paperback
162 pages
- Release Date
26 February 2025
Summary
Unveiling the Power of Graphs: From Theory to Privacy-Preserving Applications
This comprehensive guide addresses key challenges at the intersection of data science, graph learning, and privacy preservation.
It begins with foundational graph theory, covering essential definitions, concepts, and various types of graphs. The book bridges the gap between theory and application, equipping readers with the skills to translate theoretical knowledge into actionable solutions for com…
Book Details
| ISBN-13: | 9781032851129 |
|---|---|
| ISBN-10: | 1032851120 |
| Author: | Baoling Shan, Xin Yuan, Wei Ni, Ren Ping Liu, Eryk Dutkiewicz |
| Publisher: | Taylor & Francis Ltd |
| Imprint: | CRC Press |
| Format: | Paperback |
| Number of Pages: | 162 |
| Release Date: | 26 February 2025 |
| Weight: | 300g |
| Dimensions: | 234mm x 156mm |
About The Author
Baoling Shan
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.
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