To evaluate the broader applicability of the RIGR featurizer beyond its resonance invariance capabilities, we conducted comparative tests across a wide range of tasks using models trained with both RIGR and the native Chemprop featurizer. Chemprop v2.0.3 has previously been benchmarked on various regression and classification tasks. We replicated all the benchmarks using RIGR to identify any performance differences between the two. Table summarizes the datasets employed in this benchmarking study.