Graph Machine Learning Essentials: Foundations, Hands-On Implementation, Graph Neural Networks, PyTorch Geometric, and Applied Use Cases

What if the most important information in your data lies not in individual rows and columns, but in the connections between them? Graph machine learning helps uncover patterns hidden in these relationships.

Graph Machine Learning Essentials

is a practical and accessible guide to understanding how machine learning works with graph-structured data, where entities are connected through relationships.

Designed for software engineers, ML engineers, data scientists, research scholars, professionals...