Geometric Deep Learning on Graphs and Manifolds - #NIPS2017

The purpose of the proposed tutorial is to introduce the emerging field of geometric deep learning on graphs and manifolds, overview existing solutions and applications for this class of problems, as well as key difficulties and future research directions Michael Bronstein · Joan Bruna · arthur szlam · Xavier Bresson · Yann LeCun

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An Introduction to Graph Neural Networks: Models and Applications

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Michael Bronstein - Geometric deep learning on graphs: going beyond Euclidean data