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• Geometric Deep Learning

Geometric Deep Learning

Abstract

Casting graph neural networks (GNNs) within the Geometric Deep Learning blueprint, then demonstrating how we can use the blueprint to extend GNNs beyond the notion of permutation equivariance.

Guest Lecture at the Machine Learning with Graphs (CS224W) course, Stanford University, 30 November 2021