Youngchun Kwon

According to our database, Youngchun Kwon authored at least 8 papers between 2019 and 2024.

Collaborative distances:

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

2024

Improving chemical reaction yield prediction using pre-trained graph neural networks.

Jongmin Han, Youngchun Kwon, Youn-Suk Choi, Seokho Kang

J. Cheminformatics, December, 2024

2022

Generative Modeling to Predict Multiple Suitable Conditions for Chemical Reactions.

Youngchun Kwon, Sun Kim, Youn-Suk Choi, Seokho Kang

J. Chem. Inf. Model., 2022

Uncertainty-aware prediction of chemical reaction yields with graph neural networks.

Youngchun Kwon, Dongseon Lee, Youn-Suk Choi, Seokho Kang

J. Cheminformatics, 2022

2021

Valid, Plausible, and Diverse Retrosynthesis Using Tied Two-Way Transformers with Latent Variables.

Eunji Kim, Dongseon Lee, Youngchun Kwon, Min Sik Park, Youn-Suk Choi

J. Chem. Inf. Model., 2021

2020

Neural Message Passing for NMR Chemical Shift Prediction.

Youngchun Kwon, Dongseon Lee, Youn-Suk Choi, Myeonginn Kang, Seokho Kang

J. Chem. Inf. Model., 2020

Predictive Modeling of NMR Chemical Shifts without Using Atomic-Level Annotations.

Seokho Kang, Youngchun Kwon, Dongseon Lee, Youn-Suk Choi

J. Chem. Inf. Model., 2020

Compressed graph representation for scalable molecular graph generation.

Youngchun Kwon, Dongseon Lee, Youn-Suk Choi, Kyoham Shin, Seokho Kang

J. Cheminformatics, 2020

2019

Efficient learning of non-autoregressive graph variational autoencoders for molecular graph generation.

Youngchun Kwon, Jiho Yoo, Youn-Suk Choi, Wonjoon Song, Dongseon Lee, Seokho Kang

J. Cheminformatics, 2019