Graph Neural Network Training: From Data Management Perspective (Hardcover) (ISBN-13: 9789819557943)

Yanyan Shen is an associate professor at Shanghai Jiao Tong University, specializing in machine learning and data management systems. Her research focuses on developing scalable and efficient algorithms for large-scale data processing, with a strong emphasis on practical applications and system-level optimizations. She has authored numerous papers in leading journals and conferences, contributing significantly to the intersection of AI and data management.

Lei Chen is a Chair Professor in the Data Science and Analytics Thrust at HKUST (GZ), a Fellow of IEEE, and a Distinguished Member of ACM. His research spans diverse areas, including data-driven AI, knowledge graphs, blockchain, data privacy, crowdsourcing, spatial and temporal databases, and query optimization for large graphs and probabilistic databases. Prof. Chen has received numerous accolades, such as the SIGMOD Test-of-Time Award (2015), the Best Research Paper Award at VLDB (2022), and the Excellent Demonstration Award at VLDB (2014). He served as the PC Co-Chair for VLDB 2019 and is currently the Editor-in-Chief of IEEE Transactions on Data and Knowledge Engineering, as well as an executive member of the VLDB Endowment.