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Simple fusion of chemically-guided classical models with graph predictors unlocks competitive molecular property regression, challenging the necessity of complex multimodal architectures.
An exact decomposition under a specified stepwise maximal coupling is derived: the expected mismatch fraction equals a first-mismatch contribution plus post-divergence exposure multiplied by its mismatch rate.
