Browse "Dept. of Chemistry(화학과)" by Subject deep learning

Showing results 1 to 5 of 5

1
Development of a chemically intuitive filter for chemical graph convolutional network

Jeong, Yoonho; Kim, Jihoo; Kim, Yeji; Choi, Insung S., BULLETIN OF THE KOREAN CHEMICAL SOCIETY, v.43, no.7, pp.934 - 936, 2022-07

2
Effect of molecular representation on deep learning performance for prediction of molecular electronic properties

Kim, Jun Hyeong; Kim, Hyeonsu; Kim, Woo Youn, BULLETIN OF THE KOREAN CHEMICAL SOCIETY, v.43, no.5, pp.645 - 649, 2022-05

3
Molecular Generative Model via Retrosynthetically Prepared Chemical Building Block Assembly

Seo, Seonghwan; Lim, Jaechang; Kim, Woo Youn, ADVANCED SCIENCE, v.10, no.8, 2023-03

4
MolNet: A Chemically Intuitive Graph Neural Network for Prediction of Molecular Properties

Kim, Yeji; Jeong, Yoonho; Kim, Jihoo; Lee, Eok Kyun; Kim, Won June; Choi, Insung S., CHEMISTRY-AN ASIAN JOURNAL, v.17, no.16, 2022-08

5
MolNet_Equi: A Chemically Intuitive, Rotation-Equivariant Graph Neural Network

Kim, Jihoo; Jeong, Yoonho; Kim, Won June; Lee, Eok Kyun; Choi, Insung S., CHEMISTRY-AN ASIAN JOURNAL, 2024-01

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