Na, Gyoung S.

10 publications

NeurIPS 2025 3D Interaction Geometric Pre-Training for Molecular Relational Learning Namkyeong Lee, Yunhak Oh, Heewoong Noh, Gyoung S. Na, Minkai Xu, Hanchen, Tianfan Fu, Chanyoung Park

ICLR 2025 Self-Supervised Diffusion Models for Electron-Aware Molecular Representation Learning Gyoung S. Na, Chanyoung Park

NeurIPSW 2024 3D Interaction Geometric Pre-Training for Molecular Relational Learning Namkyeong Lee, Yunhak Oh, Heewoong Noh, Gyoung S. Na, Tianfan Fu, Chanyoung Park

NeurIPS 2024 Retrieval-Retro: Retrieval-Based Inorganic Retrosynthesis with Expert Knowledge Heewoong Noh, Namkyeong Lee, Gyoung S. Na, Chanyoung Park

ICML 2023 Conditional Graph Information Bottleneck for Molecular Relational Learning Namkyeong Lee, Dongmin Hyun, Gyoung S. Na, Sungwon Kim, Junseok Lee, Chanyoung Park

NeurIPS 2023 Density of States Prediction of Crystalline Materials via Prompt-Guided Multi-Modal Transformer Namkyeong Lee, Heewoong Noh, Sungwon Kim, Dongmin Hyun, Gyoung S. Na, Chanyoung Park

NeurIPSW 2023 Electron-Derived Molecular Representation Learning for Real-World Molecular Physics Gyoung S. Na, Chanyoung Park

NeurIPSW 2023 Learning Inter-Graph Interactions Between Heterogeneous Substructures of Chemical Systems Gyoung S. Na

ICLRW 2023 Predicting Density of States via Multi-Modal Transformer Namkyeong Lee, Heewoong Noh, Sungwon Kim, Dongmin Hyun, Gyoung S. Na, Chanyoung Park

NeurIPSW 2023 Stoichiometry Representation Learning with Polymorphic Crystal Structures Namkyeong Lee, Heewoong Noh, Gyoung S. Na, Tianfan Fu, Jimeng Sun, Chanyoung Park