| Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations J Jo*, S Lee*, SJ Hwang International Conference on Machine Learning (ICML), 2022 | 221 | 2022 |
| Hit and Lead Discovery with Explorative RL and Fragment-based Molecule Generation S Yang, D Hwang, S Lee, S Ryu, SJ Hwang Conference on Neural Information Processing Systems (NeurIPS), 2021 | 64 | 2021 |
| Edge Representation Learning with Hypergraphs J Jo*, J Baek*, S Lee*, D Kim, M Kang, SJ Hwang Conference on Neural Information Processing Systems (NeurIPS), 2021 | 62 | 2021 |
| Exploring Chemical Space with Score-based Out-of-distribution Generation S Lee, J Jo, SJ Hwang International Conference on Machine Learning (ICML), 2023 | 52 | 2023 |
| READRetro: Natural Product Biosynthesis Predicting with Retrieval‐Augmented Dual‐View Retrosynthesis T Kim*, S Lee*, Y Kwak, MS Choi, J Park, SJ Hwang, SG Kim New Phytologist, 2024 | 5 | 2024 |
| Drug Discovery with Dynamic Goal-aware Fragments S Lee, S Lee, SJ Hwang International Conference on Machine Learning (ICML), 2024 | 2 | 2024 |
| A Simple and Scalable Representation for Graph Generation Y Jang, S Lee, S Ahn International Conference on Learning Representations (ICLR), 2023 | 2 | 2023 |
| Robotic Scanning Technology for Laser Pulse‐Echo Inspection S Lee, JM Hyun, H Ahmed, JR Lee Electronics Letters 56 (19), 1027-1029, 2020 | 2 | 2020 |
| Molecule Generation with Fragment Retrieval Augmentation S Lee, K Kreis, S Veccham, M Liu, D Reidenbach, S Paliwal, A Vahdat, ... Conference on Neural Information Processing Systems (NeurIPS), 2024 | | 2024 |
| Protein Representation Learning by Capturing Protein Sequence-Structure-Function Relationship E Ko*, S Lee*, M Kim*, D Kim, SJ Hwang ICLR Machine Learning for Genomics Explorations Workshop, 2024 | | 2024 |
Sung Ju HwangKAIST, DeepAutoVerified email at kaist.ac.kr
