Prediction of Drug Classes with a Deep Neural Network using Drug Targets and Chemical Structure Data. - Jeonghee Jo; Hyun-Soo Choi; Sungroh Yoon (BIBM, 2019)

Comprehensive ensemble in QSAR prediction for drug discovery. - Sunyoung Kwon; Ho Bae; Jeonghee Jo; Sungroh Yoon (BMC Bioinform., 2019)

Flexible dual-branched message passing neural network for quantum mechanical property prediction with molecular conformation. - Jeonghee Jo; Bumju Kwak; Byunghan Lee; Sungroh Yoon (CoRR, 2021)

Geometry-aware Transformer for molecular property prediction. - Bumju Kwak; Jeonghee Jo; Byunghan Lee; Sungroh Yoon (CoRR, 2021)

Brain-inspired Predictive Coding Improves the Performance of Machine Challenging Tasks. - Jangho Lee 002; Jeonghee Jo; Byounghwa Lee; Jung-Hoon Lee; Sungroh Yoon (Frontiers Comput. Neurosci., 2022)

Mass Spectra Prediction with Structural Motif-based Graph Neural Networks. - Jiwon Park; Jeonghee Jo; Sungroh Yoon (CoRR, 2023)

Gradient Scaling on Deep Spiking Neural Networks with Spike-Dependent Local Information. - Seongsik Park; Jeonghee Jo; Jongkil Park 001; Yeonjoo Jeong; Jaewook Kim; Suyoun Lee; Joon Young Kwak; Inho Kim; Jong-Keuk Park; Kyeong Seok Lee; Gye Weon Hwang; Hyun Jae Jang (CoRR, 2023)

Deep contrastive learning of molecular conformation for efficient property prediction. - Yang Jeong Park; Hyungi Kim; Jeonghee Jo; Sungroh Yoon (Nat. Comput. Sci., 2023)

Neural Polarization: Toward Electron Density for Molecules by Extending Equivariant Networks. - Bumju Kwak; Jeonghee Jo (CoRR, 2024)

A More Accurate Approximation of Activation Function with Few Spikes Neurons. - Dayena Jeong; Jaewoo Park; Jeonghee Jo; Jongkil Park 001; Jaewook Kim; Hyun Jae Jang; Suyoun Lee; Seongsik Park (CoRR, 2024)