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09/06/2023
Using Multiple Vector Channels Improves E(n)-Equivariant Graph Neural Networks
We present a natural extension to E(n)-equivariant graph neural networks...
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11/11/2022
Equivariance with Learned Canonicalization Functions
Symmetry-based neural networks often constrain the architecture in order...
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11/29/2021
Prediction of Large Magnetic Moment Materials With Graph Neural Networks and Random Forests
Magnetic materials are crucial components of many technologies that coul...
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11/18/2020