Tutorial: Geometric deep learning on graphs and manifolds
Authors: Michael M. Bronstein
Tags: Graph convolutions, convolutional neural network, graph signal processing
Journal/Conference: 3rd Graph Signal Processing Workshop at EPFL – GSP’18
Slides by the authors: https://gsp18.epfl.ch/wp-content/uploads/2018/06/MichaelBronstein-Keynote-GSP2018.pdf
Presenter: Pierre Borgnat
Slides: see "slides by the authors" above
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 geometricdeeplearning.com website.