To better visualise the effect of the choice of representation on the performance of the four property prediction tasks, heatmaps of the sum-pooled representations have been depicted in Figure . For the band gap prediction task, the SkipSpecies representations perform better than the induced SkipAtom representation across all dimensions. While the choice to apply induction to the SkipSpecies representation does appear to offer a slight improvement to the MAE, the error in these values makes it hard to discern if the application of induction is significant in upgrading the performance of the SkipSpecies representation. For the formation energy per atom task, the induced SkipAtom representation outperforms both SkipSpecies representations across all the dimensions. For each of the representations, there is a marginal improvement in the MAE beyond 200 dimensions, if any. The induced SkipSpecies representation performs the best on both the metallic and magnetic classification tasks with the SkipAtom representation performing the worst.