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Stefano Berretti
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Geometric Learning developed as a specific field of research that aims to learn from non-Euclidean domains, like graphs, manifolds, etc. In this tutorial, we first introduce the basic theory and challenges related to learning from these data, presenting basic architectural solutions for graphs, point clouds, and meshes. Then, we will present some concrete applications that are becoming more and more common in this domain.
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