UBio-MolFM achieves ab initio-level fidelity on large out-of-distribution biomolecular systems using a new multi-fidelity dataset, E2Former-V2 architecture, and three-stage curriculum learning.
Do transformers really perform badly for graph representation? In Advances in Neural Information Processing Systems, volume 34, pages 28877–28888
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UBio-MolFM: A Universal Molecular Foundation Model for Bio-Systems
UBio-MolFM achieves ab initio-level fidelity on large out-of-distribution biomolecular systems using a new multi-fidelity dataset, E2Former-V2 architecture, and three-stage curriculum learning.