Origins of Geometric Deep Learning
Towards Geometric Deep Learning III: First Geometric Architectures
Geometric Deep Learning approaches a broad class of ML problems from the perspectives of symmetry and invariance, providing a common blueprint for neural network architectures as diverse as CNNs, GNNs, and Transformers. In a new series of posts, we study how these ideas have taken us…
Published in
10 min readJul 18, 2022
