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Mol-JEPA: A multimodal Joint Embedding Predictive Architecture for Molecules
Despite recent advances in molecular foundation models, several limitations remain, such as chemically invalid augmentations, modality collapse, and incomplete representation of biochemical environments. To address these challenges, we present \textbf{Mol-JEPA}, a scalable framework for learning mol
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