Part 1: Foundations of Graph Learning

In the first part of the book, you will get an overview of the fundamental concepts of graph learning, including basic definitions, real-world applications, and core representation techniques. You will learn about the essential building blocks needed to understand graph-based machine learning, practical use cases across industries, and various methods for representing graph data in machine learning contexts.

This part has the following chapters:

• Chapter 1, Introduction to Graph Learning
• Chapter 2, Graph Learning in the Real World
• Chapter 3, Graph Representation Learning