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Video recording of the course "Geometric Deep Learning" taught in the African Master in Machine Intelligence in July 2022 by Michael Bronstein (Oxford), Joan Bruna (NYU), Taco Cohen (Qualcomm), and Petar Veličković (DeepMind) Lecture 9: Euclidean vs Non-Euclidean convolution • Manifolds • Tangent vectors • Riemannian metric • Geodesics • Parallel transport • Exponential map • Convolution on manifolds • Domain deformation • Isometries • Deformation invariance • Scalar and vector fields • Gradient, Divergence, and Laplacian operators • Heat and Wave equations • Manifold Fourier transform • Spectral convolution • Meshes • Discrete Laplacians • ChebNet Slides: https://www.dropbox.com/s/8pc7b53z0w2ui15/AIMS%202022%20-%20Lecture%209%20-%20maniflds%2C%20meshes%2C%20and%20geometric%20graphs.pdf?dl=0 Additional materials: www.geometricdeeplearning.com
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