Summary
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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 12: What's next? • Beyond traditional Message Passing • Algorithmic Reasoning • Causal inferences • Knowledge Graphs • Data vs Computational graphs • Dynamic graphs • Generative models • Standardised benchmarks • Applications • Hardware beyond GPUs • Recommender systems • Fake news detection • Self-driving cars • 3D avatars • High-energy physics • Structural biology and protein science • Chemistry and drug design • Drug repositioning • Hyperfoods • Physics-inspired learning on graphs • Neural diffusion equations • Graph Beltrami flow • Ricci curvature & Bottlenecks • Graph rewiring • Sheaf diffusion • Graph coupled oscillators Slides: https://www.dropbox.com/s/9zcrcohird72ulv/AIMS%202022%20-%20Lecture%2012%20-%20conclusions.pdf?dl=0 Additional materials: www.geometricdeeplearning.com
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