Path-Augmented Graph Transformer Network. - Benson Chen; Regina Barzilay; Tommi S. Jaakkola (CoRR, 2019)

Learning to Make Generalizable and Diverse Predictions for Retrosynthesis. - Benson Chen; Tianxiao Shen; Tommi S. Jaakkola; Regina Barzilay (CoRR, 2019)

Optimal Transport Graph Neural Networks. - Gary Bécigneul; Octavian-Eugen Ganea; Benson Chen; Regina Barzilay; Tommi S. Jaakkola (CoRR, 2020)

Fragment-based Sequential Translation for Molecular Optimization. - Benson Chen; Xiang Fu 005; Regina Barzilay; Tommi S. Jaakkola (CoRR, 2021)

Molecular Graph Representation Learning and Generation for Drug Discovery - Benson Chen (2022)

DEL-Dock: Molecular Docking-Enabled Modeling of DNA-Encoded Libraries. - Kirill Shmilovich; Benson Chen; Theofanis Karaletsos; Mohammad M. Sultan (J. Chem. Inf. Model., 2023)

KinDEL: DNA-Encoded Library Dataset for Kinase Inhibitors. - Benson Chen; Tomasz Danel; Patrick J. McEnaney; Nikhil Jain; Kirill Novikov; Spurti Umesh Akki; Joshua L. Turnbull; Virja Atul Pandya; Boris P. Belotserkovskii; Jared Bryce Weaver; Ankita Biswas; Dat Nguyen; et al. (CoRR, 2024)

Compositional Deep Probabilistic Models of DNA-Encoded Libraries. - Benson Chen; Mohammad M. Sultan; Theofanis Karaletsos (J. Chem. Inf. Model., 2024)