Post #497

Geometric Deep Learning Book A new book by graph ML experts Michael M. Bronstein, Joan Bruna, Taco Cohen, and Petar Veličković on geometric deep learning is released. 156 pages on exploring symmetries that unifies different ML neural network architectures. An accompanying post nicely introduces the history of the geometry and its impact on the physics. It's exciting to see a categorization of many ML approaches from the perspective of the group theory.