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Chee-Kong Lee

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An Equivariant Generative Framework for Molecular Graph-Structure Co-Design

Apr 12, 2023
Zaixi Zhang, Qi Liu, Chee-Kong Lee, Chang-Yu Hsieh, Enhong Chen

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Hierarchical Graph Transformer with Adaptive Node Sampling

Oct 08, 2022
Zaixi Zhang, Qi Liu, Qingyong Hu, Chee-Kong Lee

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Model Inversion Attacks against Graph Neural Networks

Sep 19, 2022
Zaixi Zhang, Qi Liu, Zhenya Huang, Hao Wang, Chee-Kong Lee, Enhong Chen

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A photonic chip-based machine learning approach for the prediction of molecular properties

Mar 03, 2022
Jonathan Wei Zhong Lau, Hui Zhang, Lingxiao Wan, Liang Shi, Hong Cai, Xianshu Luo, Patrick Lo, Chee-Kong Lee, Leong-Chuan Kwek, Ai Qun Liu

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Motif-based Graph Self-Supervised Learning for Molecular Property Prediction

Oct 16, 2021
Zaixi Zhang, Qi Liu, Hao Wang, Chengqiang Lu, Chee-Kong Lee

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Motif-based Graph Self-Supervised Learning forMolecular Property Prediction

Oct 03, 2021
Zaixi Zhang, Qi Liu, Hao Wang, Chengqiang Lu, Chee-Kong Lee

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Alchemy: A Quantum Chemistry Dataset for Benchmarking AI Models

Jun 22, 2019
Guangyong Chen, Pengfei Chen, Chang-Yu Hsieh, Chee-Kong Lee, Benben Liao, Renjie Liao, Weiwen Liu, Jiezhong Qiu, Qiming Sun, Jie Tang, Richard Zemel, Shengyu Zhang

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