Graph Learning Techniques

Discover the groundbreaking insights in Graph Learning Techniques by Baoling Shan, a must-read for anyone delving into the realms of data science and graph learning. Set to be published in 2025 by Taylor & Francis Ltd, this comprehensive guide spans 162 pages, addressing critical challenges at the intersection of data science, graph learning, and privacy preservation.

This book serves as an invaluable reference for advanced undergraduate and postgraduate students focusing on Network Analysis, Privacy and Security in Data Analytics, Graph Theory, and its practical applications in Healthcare. With its professional tone and in-depth exploration of essential topics, Graph Learning Techniques is designed to equip readers with the knowledge needed to navigate the complexities of modern data analytics. Don’t miss the opportunity to enhance your understanding of these pivotal subjects!