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Jeonghee Jo

Showing results (1-10 of 11) with videos related to

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Journal of Chemical Theory and Computation|August 25, 2025
Introducing Virtual Points in Equivariant Networks by Extending Atom Representation for Effective PredictionBumju Kwak, Jeonghee Jo
Scientific Reports|January 16, 2024
Mass spectra prediction with structural motif-based graph neural networksJiwon Park, Jeonghee Jo, Sungroh Yoon
BMC Bioinformatics|October 28, 2019
Comprehensive ensemble in QSAR prediction for drug discoverySunyoung Kwon, Ho Bae, Jeonghee Jo, et al.
ACS Omega|February 14, 2022
Flexible Dual-Branched Message-Passing Neural Network for a Molecular Property PredictionJeonghee Jo, Bumju Kwak, Byunghan Lee, et al.
Nature Computational Science|January 4, 2024
Deep contrastive learning of molecular conformation for efficient property predictionYang Jeong Park, HyunGi Kim, Jeonghee Jo, et al.
Methods (San Diego, Calif.)|May 24, 2020
The message passing neural networks for chemical property prediction on SMILESJeonghee Jo, Bumju Kwak, Hyun-Soo Choi, et al.
Frontiers in Computational Neuroscience|December 5, 2022
Brain-inspired Predictive Coding Improves the Performance of Machine Challenging TasksJangho Lee, Jeonghee Jo, Byounghwa Lee, et al.
ACS Omega|October 30, 2023
GeoT: A Geometry-Aware Transformer for Reliable Molecular Property Prediction and Chemically Interpretable Representation LearningBumju Kwak, Jiwon Park, Taewon Kang, et al.
Pharmacology Research & Perspectives|November 28, 2025
Unbiased microRNA-Disease Association Prediction Using ICD-11 Codes and Negative SamplingMunyoung Chang, Jeonghee Jo, Junyong Ahn, et al.
Frontiers in Cardiovascular Medicine|July 7, 2023
Deep learning-based prediction for significant coronary artery stenosis on coronary computed tomography angiography in asymptomatic populationsHeesun Lee, Bong Gyun Kang, Jeonghee Jo, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Journal of Chemical Theory and Computation|August 25, 2025
Introducing Virtual Points in Equivariant Networks by Extending Atom Representation for Effective PredictionBumju Kwak, Jeonghee Jo
Scientific Reports|January 16, 2024
Mass spectra prediction with structural motif-based graph neural networksJiwon Park, Jeonghee Jo, Sungroh Yoon
BMC Bioinformatics|October 28, 2019
Comprehensive ensemble in QSAR prediction for drug discoverySunyoung Kwon, Ho Bae, Jeonghee Jo, et al.
ACS Omega|February 14, 2022
Flexible Dual-Branched Message-Passing Neural Network for a Molecular Property PredictionJeonghee Jo, Bumju Kwak, Byunghan Lee, et al.
Nature Computational Science|January 4, 2024
Deep contrastive learning of molecular conformation for efficient property predictionYang Jeong Park, HyunGi Kim, Jeonghee Jo, et al.
Methods (San Diego, Calif.)|May 24, 2020
The message passing neural networks for chemical property prediction on SMILESJeonghee Jo, Bumju Kwak, Hyun-Soo Choi, et al.
Frontiers in Computational Neuroscience|December 5, 2022
Brain-inspired Predictive Coding Improves the Performance of Machine Challenging TasksJangho Lee, Jeonghee Jo, Byounghwa Lee, et al.
ACS Omega|October 30, 2023
GeoT: A Geometry-Aware Transformer for Reliable Molecular Property Prediction and Chemically Interpretable Representation LearningBumju Kwak, Jiwon Park, Taewon Kang, et al.
Pharmacology Research & Perspectives|November 28, 2025
Unbiased microRNA-Disease Association Prediction Using ICD-11 Codes and Negative SamplingMunyoung Chang, Jeonghee Jo, Junyong Ahn, et al.
Frontiers in Cardiovascular Medicine|July 7, 2023
Deep learning-based prediction for significant coronary artery stenosis on coronary computed tomography angiography in asymptomatic populationsHeesun Lee, Bong Gyun Kang, Jeonghee Jo, et al.
Pageof 2