April 2023
Intermediate to advanced
354 pages
8h 22m
English
Content preview from Hands-On Graph Neural Networks Using Python
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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 ...
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