For specific downstream tasks, OCNet provides two approaches for virtual characterization: directly modeling the downstream properties based on molecular representations or inte-grating prior knowledge to further enhance the molecular representation's capability and interpretability. Specifically, we use multilayer perceptrons to extract both molecular representations and domain-specific features, which are then fused into a single representation for downstream property prediction (Figure , and detailed in the methodology section).