Mikkel N. Schmidt

Equivariant graph neural networks can dramatically improve optical spectra predictions, outperforming traditional models and enhancing materials screening for solar cells.

Autoregressive graph generators aren't learning the graph structure, they're memorizing your arbitrary traversal order.