13 citations · 33 across the 7 of their papers we have counts for
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cs.LG2022★ 6 cited
Equivariant Graph Attention Networks for Molecular Property Prediction
Tuan Le, Frank Noé, Djork-Arné Clevert
Learning and reasoning about 3D molecular structures with varying size is an emerging and important challenge in machine learning and especially in drug discovery. Equivariant Grap…
cs.LG2022★ 7 cited
Unsupervised Learning of Group Invariant and Equivariant Representations
Robin Winter, Marco Bertolini, Tuan Le +2
Equivariant neural networks, whose hidden features transform according to representations of a group G acting on the data, exhibit training efficiency and an improved generalisatio…