Graph Neural Networks: Foundations, Frontiers, and Applications

The book "Graph Neural Networks: Foundations, Frontiers, and Applications" offers a comprehensive introduction to the world of Graph Neural Networks (GNNs). In today's research in the field of artificial intelligence, deep learning models are of central importance, especially when it comes to processing graph-structured data. This publication highlights the challenges and advancements in the application of GNNs, which have proven effective in various fields such as social networks, bioinformatics, and medical informatics. The content is divided into three main parts: first, the goals of Graph Representation Learning are discussed, followed by a detailed examination of the fundamental methods and theories related to GNNs. The third part focuses on the latest developments and applications based on GNNs. This academic book is aimed at a wide audience, including students, postdoctoral researchers, educators, as well as professionals from industry and government.