Figure 12
From: Distilling knowledge from graph neural networks trained on cell graphs to non-neural student models
Feature importance comparison for LightGBM models trained on hard labels and logits. (A) Shows the feature importances when the model is trained on hard labels. (B) Represents the feature importances when the model is trained on logits distilled from the teacher model. (C) Compares the feature importances for both scenarios. The brown color indicates the overlap of feature importance between models trained on hard labels and logits. The feature numbers on the x-axis correspond to the features listed in Table 3.
