Who this book is for

This book is intended for individuals interested in learning about GNNs and how they can be applied to various real-world problems. This book is ideal for data scientists, machine learning engineers, and artificial intelligence (AI) professionals who want to gain practical experience in designing and implementing GNNs. This book is written for individuals with prior knowledge of deep learning and machine learning. However, it provides a comprehensive introduction to the fundamental concepts of graph theory and graph learning for those new to the field. It will also be useful for researchers and students in computer science, mathematics, and engineering who want to expand their knowledge in this rapidly growing area of research.