52 citations · 62 across the 3 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…
cs.LG2020★ 5 cited
Geometric Prediction: Moving Beyond Scalars
Raphael J. L. Townshend, Brent Townshend, Stephan Eismann +1
Many quantities we are interested in predicting are geometric tensors; we refer to this class of problems as geometric prediction. Attempts to perform geometric prediction in real-…