arXiv Machine Learning July 27, 2026 By Shiyi Liu, Jiaqing Chen, Nicholas Hadler, Rostyslav Hnatyshyn, Michael W. Mahoney, Talita Perciano, John F. Hartwig, Gunther H. Weber, Ross Maciejewski

LatentFlow: Visual Analytics for Latent Space Analysis in Molecular Graph Neural Networks

Read the original on arXiv Machine Learning →

arXiv:2607. 21941v1 Announce Type: new Abstract: Chemists and materials scientists increasingly use machine learning models, such as graph neural networks (GNNs), to predict properties of molecules and the outcomes of their reactions.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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