Part 3: Advanced Techniques

In this third part of the book, we will delve into the more advanced and specialized GNN architectures that have been developed to solve a variety of graph-related problems. We will cover state-of-the-art GNN models designed for specific tasks and domains, which can address challenges and requirements more effectively. In addition, we will provide an overview of several new graph-based tasks that can be tackled using GNNs, such as link prediction and graph classification, and demonstrate their applications through practical code examples and implementations.

By the end of this part, you will be able to understand and implement advanced GNN architectures and apply them to solve your own graph-based problems. You will have a comprehensive understanding of specialized GNNs and their respective strengths, as well as hands-on experience with code examples. This knowledge will equip you with the skills to apply GNNs to real-world use cases and potentially contribute...