activity
20232026
most citedExplaining generative diffusion models via visual analysis for interpretable decision-making process

22 citations · 67 across the 13 of their papers we have counts for

collaborators
Showing cs.LGShow all

1 paper · 1 filter

cs.LG2025★ 2 cited

ChemFixer: Correcting Invalid Molecules to Unlock Previously Unseen Chemical Space

Jun-Hyoung Park, Ho-Jun Song, Seong-Whan Lee

Deep learning-based molecular generation models have shown great potential in efficiently exploring vast chemical spaces by generating potential drug candidates with desired proper…