BOOM: Benchmarking Out-Of-distribution Molecular Property Predictions of Machine Learning Models

Discovering novel molecules requires accurate out-of-distribution (OOD) predictions, but ML models struggle to generalize OOD. Currently, no systematic benchmarks exist for molecular OOD prediction tasks.