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Seokho Kang

Showing results (1-10 of 20) with videos related to

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Artificial Intelligence in Medicine|February 28, 2018
Personalized prediction of drug efficacy for diabetes treatment via patient-level sequential modeling with neural networksSeokho Kang
Neural Networks : the Official Journal of the International Neural Network Society|October 7, 2025
Consistency-regularized graph neural networks for molecular property predictionJongmin Han, Seokho Kang
Journal of Chemical Information and Modeling|July 18, 2018
Conditional Molecular Design with Deep Generative ModelsSeokho Kang, Kyunghyun Cho
Scientific Reports|December 9, 2025
Test-time local training of neural network for tabular dataMyeonginn Kang, Seokho Kang
Scientific Reports|January 2, 2020
Molecular Geometry Prediction using a Deep Generative Graph Neural NetworkElman Mansimov, Omar Mahmood, Seokho Kang, et al.
Journal of Cheminformatics|March 1, 2024
Improving chemical reaction yield prediction using pre-trained graph neural networksJongmin Han, Youngchun Kwon, Youn-Suk Choi, et al.
Journal of Cheminformatics|January 11, 2022
Uncertainty-aware prediction of chemical reaction yields with graph neural networksYoungchun Kwon, Dongseon Lee, Youn-Suk Choi, et al.
Journal of Chemical Information and Modeling|July 22, 2020
Predictive Modeling of NMR Chemical Shifts without Using Atomic-Level AnnotationsSeokho Kang, Youngchun Kwon, Dongseon Lee, et al.
Scientific Reports|August 28, 2021
Evolutionary design of molecules based on deep learning and a genetic algorithmYoungchun Kwon, Seokho Kang, Youn-Suk Choi, et al.
Scientific Reports|October 26, 2021
Molecular search by NMR spectrum based on evaluation of matching between spectrum and moleculeYoungchun Kwon, Dongseon Lee, Youn-Suk Choi, et al.
Pageof 2

Showing results (1-10 of 20) with videos related to

Sort By:
Pageof 2
Artificial Intelligence in Medicine|February 28, 2018
Personalized prediction of drug efficacy for diabetes treatment via patient-level sequential modeling with neural networksSeokho Kang
Neural Networks : the Official Journal of the International Neural Network Society|October 7, 2025
Consistency-regularized graph neural networks for molecular property predictionJongmin Han, Seokho Kang
Journal of Chemical Information and Modeling|July 18, 2018
Conditional Molecular Design with Deep Generative ModelsSeokho Kang, Kyunghyun Cho
Scientific Reports|December 9, 2025
Test-time local training of neural network for tabular dataMyeonginn Kang, Seokho Kang
Scientific Reports|January 2, 2020
Molecular Geometry Prediction using a Deep Generative Graph Neural NetworkElman Mansimov, Omar Mahmood, Seokho Kang, et al.
Journal of Cheminformatics|March 1, 2024
Improving chemical reaction yield prediction using pre-trained graph neural networksJongmin Han, Youngchun Kwon, Youn-Suk Choi, et al.
Journal of Cheminformatics|January 11, 2022
Uncertainty-aware prediction of chemical reaction yields with graph neural networksYoungchun Kwon, Dongseon Lee, Youn-Suk Choi, et al.
Journal of Chemical Information and Modeling|July 22, 2020
Predictive Modeling of NMR Chemical Shifts without Using Atomic-Level AnnotationsSeokho Kang, Youngchun Kwon, Dongseon Lee, et al.
Scientific Reports|August 28, 2021
Evolutionary design of molecules based on deep learning and a genetic algorithmYoungchun Kwon, Seokho Kang, Youn-Suk Choi, et al.
Scientific Reports|October 26, 2021
Molecular search by NMR spectrum based on evaluation of matching between spectrum and moleculeYoungchun Kwon, Dongseon Lee, Youn-Suk Choi, et al.
Pageof 2