The most successful node mapping scheme determined by this study was with complete learned feature generation, i.e., MLP(All Features). By passing all node and float features into an MLP that generates learned encodings for each node, Graphormer-IR can best balance encoding flexibility and application of human engineered information. This scheme achieved the best single model performance (𝑆𝐼𝑆 𝜇 = 0.8531), and 𝑆𝐼𝑆 𝜇 = 0.8523±0.0006 in the n=5 case.