118 citations · 118 across the 1 of their papers we have counts for
2 papers
cs.LG2020★ 118 cited
Molecular representation learning with language models and domain-relevant auxiliary tasks
Benedek Fabian, Thomas Edlich, Héléna Gaspar +4
We apply a Transformer architecture, specifically BERT, to learn flexible and high quality molecular representations for drug discovery problems. We study the impact of using diffe…
q-bio.QM2018
GuacaMol: Benchmarking Models for De Novo Molecular Design
Nathan Brown, Marco Fiscato, Marwin H. S. Segler +1
De novo design seeks to generate molecules with required property profiles by virtual design-make-test cycles. With the emergence of deep learning and neural generative models in m…