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Tutorial: Geometric deep learning on graphs and manifolds

Authors: Michael M. Bronstein

Tags: Graph convolutions, convolutional neural network, graph signal processing

Year: 2018

Journal/Conference: 3rd Graph Signal Processing Workshop at EPFL – GSP’18

Slides by the authors:

Presenter: Pierre Borgnat

Slides: see "slides by the authors" above

Further resources

A good review article to follow this material is Michael M. Bronstein, Joan Bruna, Yann LeCun, Arthur Szlam, and Pierre Vandergheynst (2017), "Geometric deep learning: going beyond Euclidean data"

There is also a video of Michael Bronstein's presentation at GSP’18.

More can be found on the website.

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