The D-MPNN models for various QM descriptor predictions developed here are highly valuable in high-throughput screening workflow, as performing QM calculations is usually very costly. For example, QM calculations of the ∼65,000 chemical species in this work consumed approximately 20,000 CPU hours, while predicting all these values using ML models takes less than 0.5 CPU hour on the same computer.