> At the same time, the results show that the explanations obtained from IGNNet are aligned with the true Shapley values of the features without incurring any additional computational overhead

TabPFN: https://github.com/automl/TabPFN https://twitter.com/FrankRHutter/status/1583410845307977733

"TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second" (2022) https://arxiv.org/abs/2308.08945

FWIU TabPFN is Bayesian-calibrated/trained with better performance than xgboost for non-categorical data