Graph Learning Techniques

Discover the transformative insights in Graph Learning Techniques, a compelling guide published by Taylor & Francis Ltd in 2025. With 162 pages of in-depth content, this book tackles critical challenges at the intersection of data science, graph learning, and privacy preservation. It serves as an invaluable resource for advanced undergraduate and postgraduate students specializing in Network Analysis, Privacy and Security in Data Analytics, and Graph Theory, as well as its applications in the healthcare sector. Whether you are looking to deepen your understanding or enhance your research, this hardback edition is designed to equip you with the essential knowledge and skills needed in today's data-driven world. Don't miss out on this essential addition to your academic library!