At this stage, demonstration of the validity of our teaching-like strategy was needed. For this purpose, we trained the model 1) using only the categorical data variables; 2) providing the elements as done with many other previously reported models and 3) removing some of property-based features (e.g., hybridization, electronegativity, Figure ). These different conditions were applied to the models with the previously identified most appropriate number of GAT layers and mask size (3-4, 3-5, 4-3, 4-4 and 5-3) and the median accuracy was computed (Figure ).