Who this book is for
This book serves multiple technical audiences. Data scientists, machine learning practitioners, and researchers looking to expand their expertise into graph-based data analysis will find practical guidance supported by real-world examples. Additionally, software engineers working on graph-related applications can benefit from the hands-on approach and implementation details provided here.
The content is equally valuable for tech leaders and entrepreneurs who need to understand the strategic implications of graph deep learning. We offer a comprehensive overview of how graph-based approaches can be applied across various domains, enabling decision-makers to identify opportunities and build solutions tailored to their specific business requirements. The book bridges the gap between theoretical concepts and practical implementation, making it a versatile reference for both technical execution and strategic planning.
