Augmenting Molecular Deep Generative Models with Topological Data Analysis Representations

Yair Schiff, Vijil Chenthamarakshan, Samuel Hoffman +2

Deep generative models have emerged as a powerful tool for learning useful molecular representations and designing novel molecules with desired properties, with applications in dru…