Questions tagged [non-euclidean-data]

For questions related to non-Euclidean data, such as graphs or manifolds. Geometric deep learning is an application of deep learning to non-Euclidean data.

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What exactly is a grid-like topology according to the book Deep Learning?

I am reading this book called "Deep Learning" (by Goodfellow, Bengio and Courville). On page 326, in the first paragraph, it says: CNNs, are a specialized kind of neural network for ...
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What is non-Euclidean data?

What is non-Euclidean data? Here are some sub-questions Where does this type of data arise? I have come across this term in the context of geometric deep learning and graph neural networks. ...