The architectural location of this descriptor begs the question: which neural network in our workflow is best suited to use the phase information? Are the GNNs generating a customized generalizable learned molecular fingerprint whose complexities are unlocked by the MLP or is the MLP simply providing a projection with minor logical inference of the richly expressive embedding generated by Graphormer? Preliminary experiments of Graphormer-IR found that in this context, relatively high model performance could be retained with only a single-layer MLP, strongly supporting the latter as an explanation.