AMMI Geometric Deep Learning Course - Second Edition (2022) - AMMI 2022 Course "Geometric Deep Learning" - Lecture 5 (Graphs & Sets) - Petar Veličković

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19 hours of video
Certificate of completion
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Summary

Keywords

geometric deep learning machine learning artificial intelligence graph neural networks deep sets permutation equivariance invariance GNN GCN message passing

Full Transcript

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 5: Learning on sets • Permutations • Permutation invariance • DeepSets • Permutation equivariance • General blueprint of learning on sets • Learning on graphs • Locality • General blueprint of learning on graphs • Three flavors of GNNs • Convolutional GNNs • Attentional GNNs • Message Passing GNNs Slides: https://www.dropbox.com/s/fola7dmqtjfiwqr/AIMS%202022%20-%20Lecture%205%20-%20Graphs%20%26%20Sets%20I.pdf?dl=0 Additional materials: www.geometricdeeplearning.com

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