E2Former: An Efficient and Equivariant Transformer with Linear-Scaling Tensor Products

Neural Information Processing Systems 

Equivariant Graph Neural Networks (EGNNs) have demonstrated significant success in modeling microscale systems, including those in chemistry, biology and materials science.

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