Lee, Seul

12 publications

ICML 2025 GenMol: A Drug Discovery Generalist with Discrete Diffusion Seul Lee, Karsten Kreis, Srimukh Prasad Veccham, Meng Liu, Danny Reidenbach, Yuxing Peng, Saee Gopal Paliwal, Weili Nie, Arash Vahdat

ICLR 2024 A Simple and Scalable Representation for Graph Generation Yunhui Jang, Seul Lee, Sungsoo Ahn

ICML 2024 Drug Discovery with Dynamic Goal-Aware Fragments Seul Lee, Seanie Lee, Kenji Kawaguchi, Sung Ju Hwang

ICLRW 2024 Drug Discovery with Dynamic Goal-Aware Fragments Seul Lee, Seanie Lee, Kenji Kawaguchi, Sung Ju Hwang

NeurIPS 2024 Molecule Generation with Fragment Retrieval Augmentation Seul Lee, Karsten Kreis, Srimukh Prasad Veccham, Meng Liu, Danny Reidenbach, Saee Paliwal, Arash Vahdat, Weili Nie

ICLRW 2024 Protein Representation Learning by Capturing Protein Sequence-Structure-Function Relationship Eunji Ko, Seul Lee, Minseon Kim, Dongki Kim, Sung Ju Hwang

NeurIPSW 2023 A Simple and Scalable Representation for Graph Generation Yunhui Jang, Seul Lee, Sungsoo Ahn

ICML 2023 Exploring Chemical Space with Score-Based Out-of-Distribution Generation Seul Lee, Jaehyeong Jo, Sung Ju Hwang

ICLRW 2023 Exploring Chemical Space with Score-Based Out-of-Distribution Generation Seul Lee, Jaehyeong Jo, Sung Ju Hwang

ICML 2022 Score-Based Generative Modeling of Graphs via the System of Stochastic Differential Equations Jaehyeong Jo, Seul Lee, Sung Ju Hwang

NeurIPS 2021 Edge Representation Learning with Hypergraphs Jaehyeong Jo, Jinheon Baek, Seul Lee, Dongki Kim, Minki Kang, Sung Ju Hwang

NeurIPS 2021 Hit and Lead Discovery with Explorative RL and Fragment-Based Molecule Generation Soojung Yang, Doyeong Hwang, Seul Lee, Seongok Ryu, Sung Ju Hwang