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Completed assays provide transferable supervision for routing frozen prediction interfaces, outperforming Support-CV by 0.0409 NLL on external regression tasks.
Incompletely labeled PROTAC databases can still yield powerful predictors for protein degradation, achieving state-of-the-art performance without extensive experimental labels.
Separating long-term preferences from short-term intentions via self-supervision boosts session-based recommendation, outperforming standard fusion methods.
