On the Expressive Power of Geometric Graph Neural Networks | Chaitanya K. Joshi & Simon V. Mathis
1:04:38
Score Matching via Differentiable Physics | Benjamin Holzschuh
1:21:05
Understanding and Extending Subgraph GNNs by Rethinking Their Symmetries
1:21:13
A Hitchhiker's Guide to Geometric GNNs for 3D Atomic Systems | Mathis, Joshi, and Duval
54:59
A New Perspective on Building Efficient and Expressive 3D Equivariant Graph Neural Networks
1:20:08
Geometric and Physical Quantities Improve E(3) Equivariant Message Passing | Johannes Brandstetter
1:49:55
How To Speak Fluently In English About Almost Anything
57:45
Visualizing transformers and attention | Talk for TNG Big Tech Day '24
2:03:01