Origins of Geometric Deep Learning
Towards Geometric Deep Learning IV: Chemical Precursors of GNNs
Geometric Deep Learning approaches a broad class of ML problems from the perspectives of symmetry and invariance, providing a common blueprint for the “zoo” of neural network architectures. In the last post in our series on the origins of Geometric Deep Learning, we look at the precursors…
Published in
15 min readJul 25, 2022
