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20192026
most citedMolecular geometry prediction using a deep generative graph neural network

133 citations · 148 across the 6 of their papers we have counts for

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cs.LG2026

SynLaD: Latent Diffusion for Generating Synthesizable Molecules Conditioned on 3D Pharmacophore Profiles

Miruna Cretu, John Bradshaw, Patricia Suriana +6

We present SynLaD, a latent diffusion framework for small-molecule generation that unifies ligand-based drug design objectives (what to make) with synthetic accessibility (how to m…