AMMI Course Geometric Deep Learning Lecture 9 ( Manifolds Meshes) Michael Bronstein
Video recording of the course Geometric Deep Learning taught in the African Master in Machine Intelligence in JulyAugust 2021 by Michael Bronstein (Imperial College, Twitter), Joan Bruna (NYU), Taco Cohen (Qualcomm), and Petar Veličković (DeepMind) Lecture 9: Euclidean vs NonEuclidean convolution Manifolds Tangent vectors Riemannian metric Geodesics Parallel transport Exponential map Convolution on manifolds Domain deformation Pushfowards and Pullback 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 Graph Convolutional Network sGCN SIGN Slides: Additional materials:
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