Leveraging Pretrained Graph Neural Networks as Geometric Featurizers for Analyzing Molecular Dynamics

Pretrained graph neural networks can be used as universal geometric featurizers to enable efficient analysis of molecular dynamics trajectories without the need for manual feature selection.