A Hybrid-scales Graph Contrastive learning Framework for Discovering Regularities in Traditional Chinese Medicine Formula
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Wu, Yingpei, Yin, Zecheng, Zhou, Kaiyuan, Wang, Ruofei, Yang, Yun, Yin, Zepeng, Ruan, Chunyang and Zhang, Yanchun 
ORCID: 0000-0002-5094-5980
(2021)
A Hybrid-scales Graph Contrastive learning Framework for Discovering Regularities in Traditional Chinese Medicine Formula.
In: 2021 IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2021), 9 Dec 2021 - 12 Dec 2021, Houston, TX, USA.
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| Item type | Conference or Workshop Item (Paper) |
| URI | https://vuir.vu.edu.au/id/eprint/46470 |
| DOI | 10.1109/BIBM52615.2021.9669658 |
| Official URL | https://ieeexplore.ieee.org/document/9669658 |
| ISBN | 9781665429825 (print) 9781665401265 (eBook) |
| Subjects | Current > FOR (2020) Classification > 4208 Traditional, complementary and integrative medicine Current > FOR (2020) Classification > 4605 Data management and data science Current > Division/Research > Institute for Sustainable Industries and Liveable Cities |
| Keywords | machine learning; data mining; regularities discovery; herb classification; herb similarity search; prescriptions; HsCTRD; TAHIN |
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