Network Embedding

Discover the innovative world of Network Embedding by Cheng Cheng Yang, published by Springer International Publishing AG in 2021. This insightful paperback spans 220 pages and delves into the complexities of heterogeneous graphs, offering a comprehensive overview of network embedding techniques.

In this essential read, Yang explores various applications of network embedding, including recommendation systems and information diffusion prediction, making it a valuable resource for researchers and practitioners alike. The book not only details the methodologies but also evaluates their practical implications in real-world scenarios.

Concluding with a forward-looking perspective, Network Embedding invites readers to consider future directions in this rapidly evolving field. Whether you are a student, academic, or industry professional, this book is a must-have for anyone interested in the cutting-edge developments of network analysis.