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Graph Neural Networks in Action

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A hands-on guide to powerful graph-based deep learning models.

Graph Neural Networks in Action teaches you to build cutting-edge graph neural networks for recommendation engines, molecular modeling, and more. This comprehensive guide contains coverage of the essential GNN libraries, including PyTorch Geometric, DeepGraph Library, and Alibaba’s GraphScope for training at scale.

In Graph Neural Networks in Action, you will learn how to:

• Train and deploy a graph neural network
• Generate no...