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This work demonstrates enhanced molecular prediction accuracy using convolution and attention in molecular graphs, suggesting improved model performance.
Improving MPNN performance for molecular property prediction by coupling convolution, attention, and bidirectional message passing with descriptors capturing diverse aspects of molecular graphs.
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Castañeda-Leautaud et al. (2025) studied this question.
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