This original book is a unique and original in-depth study on how, in the past decade, Chinese state-owned enterprises (SOEs) have achieved technological innovation in the large infrastructure sectors. It reveals a 'new world' of Chinese innovation, showing that SOEs are willing to innovate and are also more than capable of doing so. Based on findings from first-hand data and years of observations, this book shows how the innovation ecosystem perspective incentivizes and facilitates Chinese SOEs' innovation and highlights the entrepreneurial role of the government. Using the examples of...

Representation learning in heterogeneous graphs (HG) is intended to provide a meaningful vector representation for each node so as to facilitate downstream applications such as link prediction, personalized recommendation, node classification, etc. This task, however, is challenging not only because of the need to incorporate heterogeneous structural (graph) information consisting of multiple types of node and edge, but also the need to consider heterogeneous attributes or types of content (e.g. text or image) associated with each node. Although considerable advances have been made in...

This book provides a comprehensive introduction to the foundations and frontiers of graph neural networks. In addition, the book introduces the basic concepts and definitions in graph representation learning and discusses the development of advanced graph representation learning methods with a focus on graph neural networks. The book providers researchers and practitioners with an understanding of the fundamental issues as well as a launch point for discussing the latest trends in the science. The authors emphasize several frontier aspects of graph neural networks and utilize graph data to...