Graph Learning Techniques - Hardcover

Shan, Baoling; Yuan, Xin; Ni, Wei; Liu, Ren Ping; Dutkiewicz, Eryk

Hardcover

ISBN 10: 1032851139 ISBN 13: 9781032851136

Verlag: CRC Press, 2025

Inhaltsangabe

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.

Über diesen Titel

Über die Autorin bzw. den Autor

Baoling Shan is currently a Lecturer at University of Science and Technology Beijing, Beijing, China.

Xin Yuan

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.

Details zur Ausgabe

• Verlag: CRC Press
• Erscheinungsdatum: 2025
• Sprache: Englisch
• ISBN 10: 1032851139
• ISBN 13: 9781032851136
• Einband: Gebundene Ausgabe
• Auflage: 1
• Anzahl der Seiten: 186
• Kontakt zum Hersteller: Taylor & Francis Verlag GmbH; GPSR@taylorandfrancis.com; ; Kaufingerstraße 24; München; 80331; Deutschland