Seokho Kang

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 9

Top Topics

Single Molecule

Sentinel Lymph Node

Top Venues

Journal of chemical information and modeling

Journal of cheminformatics

Physical chemistry chemical physics : PCCP

Analytical chemistry

This page only lists publications with an associated author ORCID identifier.

Publications

Youngchun Kwon, Hyukju Kwon, Jongmin Han, Myeonginn Kang, Ji-Yeong Kim, Dongyeeb Shin, Youn-Suk Choi, Seokho Kang
Retention Time Prediction through Learning from a Small Training Data Set with a Pretrained Graph Neural Network. Analytical chemistry (2023)
Youngchun Kwon, Dongseon Lee, Youn-Suk Choi, Seokho Kang
Uncertainty-aware prediction of chemical reaction yields with graph neural networks. Journal of cheminformatics 14 (1) (2022)
Youngchun Kwon, Sun Kim, Youn-Suk Choi, Seokho Kang
Generative Modeling to Predict Multiple Suitable Conditions for Chemical Reactions. Journal of chemical information and modeling (2022)
Jongmin Han, Hyungu Kang, Seokho Kang, Youngchun Kwon, Dongseon Lee, Youn-Suk Choi
Scalable graph neural network for NMR chemical shift prediction. Physical chemistry chemical physics : PCCP 24 (43) (2022)
Seokho Kang, Youngchun Kwon, Dongseon Lee, Youn-Suk Choi
Predictive Modeling of NMR Chemical Shifts without Using Atomic-Level Annotations. Journal of chemical information and modeling 60 (8) (2020)
Youngchun Kwon, Dongseon Lee, Youn-Suk Choi, Myeonginn Kang, Seokho Kang
Neural Message Passing for NMR Chemical Shift Prediction. Journal of chemical information and modeling 60 (4) (2020)
Youngchun Kwon, Dongseon Lee, Youn-Suk Choi, Kyoham Shin, Seokho Kang
Compressed graph representation for scalable molecular graph generation. Journal of cheminformatics 12 (1) (2020)
Youngchun Kwon, Jiho Yoo, Youn-Suk Choi, Won-Joon Son, Dongseon Lee, Seokho Kang
Efficient learning of non-autoregressive graph variational autoencoders for molecular graph generation. Journal of cheminformatics 11 (1) (2019)
Seokho Kang, Kyunghyun Cho
Conditional Molecular Design with Deep Generative Models. Journal of chemical information and modeling 59 (1) (2018)