Measuring trainable degrees of freedom in materials graph neural networks: a random-subspace intrinsic dimension analysis

Shehroz Ahmad Shoaib, Kangming Li

Final predictive accuracy is the standard basis for comparing graph neural networks (GNNs) in materials-property prediction, but it does not show how strongly performance depends o…