most citedScalable Machine Learning Force Fields for Macromolecular Systems Through Long-Range Aware Message Passing

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cs.LG2026

E2Former-V2: On-the-Fly Equivariant Attention with Linear Activation Memory

Lin Huang, Chengxiang Huang, Ziang Wang +7

Equivariant Graph Neural Networks (EGNNs) have become a widely used approach for modeling 3D atomistic systems. However, mainstream architectures face critical scalability bottlene…