most citedA new perspective on building efficient and expressive 3D equivariant graph neural networks

9 citations · 9 across the 1 of their papers we have counts for

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1 paper

cs.LG2023★ 9 cited

A new perspective on building efficient and expressive 3D equivariant graph neural networks

Weitao Du, Yuanqi Du, Limei Wang +5

Geometric deep learning enables the encoding of physical symmetries in modeling 3D objects. Despite rapid progress in encoding 3D symmetries into Graph Neural Networks (GNNs), a co…