Researchers introduced LatentFlow, a visual tool for examining how molecular graph neural networks organize data across layers and training states. It links embedding clusters to molecules and shared chemical structures to support model interpretation.


arXiv.org
LatentFlow: Visual Analytics for Latent Space Analysis in Molecular Graph Neural Networks
Chemists and materials scientists increasingly use machine learning models, such as graph neural networks (GNNs), to predict properties of molecule...














