Seokhyun Moon

According to our database, Seokhyun Moon authored at least 6 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Discrete Diffusion Schrödinger Bridge Matching for Graph Transformation.

Jun Hyeong Kim, Seonghwan Kim, Seokhyun Moon, Hyeongwoo Kim, Jeheon Woo, Woo Youn Kim

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2023

PIGNet2: A Versatile Deep Learning-based Protein-Ligand Interaction Prediction Model for Binding Affinity Scoring and Virtual Screening.

Seokhyun Moon, Sang-Yeon Hwang, Jaechang Lim, Woo Youn Kim

CoRR, 2023

Predicting quantum chemical property with easy-to-obtain geometry via positional denoising.

Hyeonsu Kim, Jeheon Woo, Seonghwan Kim, Seokhyun Moon, Jun Hyeong Kim, Woo Youn Kim

CoRR, 2023

GeoTMI: Predicting Quantum Chemical Property with Easy-to-Obtain Geometry via Positional Denoising.

Hyeonsu Kim, Jeheon Woo, Seonghwan Kim, Seokhyun Moon, Jun Hyeong Kim, Woo Youn Kim

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2020

PIGNet: A physics-informed deep learning model toward generalized drug-target interaction predictions.

Seokhyun Moon, Wonho Zhung, Soojung Yang, Jaechang Lim, Woo Youn Kim

CoRR, 2020

2019

Scaffold-based molecular design using graph generative model.

Jaechang Lim, Sang-Yeon Hwang, Seungsu Kim, Seokhyun Moon, Woo Youn Kim

CoRR, 2019