203 citations · 389 across the 9 of their papers we have counts for
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cs.LG2021★ 52 cited
Equivariant Graph Neural Networks for 3D Macromolecular Structure
Bowen Jing, Stephan Eismann, Pratham N. Soni +1
Representing and reasoning about 3D structures of macromolecules is emerging as a distinct challenge in machine learning. Here, we extend recent work on geometric vector perceptron…
q-bio.BM2021
Protein sequence-to-structure learning: Is this the end(-to-end revolution)?
Elodie Laine, Stephan Eismann, Arne Elofsson +1
The potential of deep learning has been recognized in the protein structure prediction community for some time, and became indisputable after CASP13. In CASP14, deep learning has b…