Meta-path guided graph attention network for explainable herb recommendation-Reference-Cited by-同舟云学术

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Meta-path guided graph attention network for explainable herb recommendation

Published:2023-01-18 Issue:1 Volume:11 Page:
ISSN:2047-2501
Container-title:Health Information Science and Systems
language:en
Short-container-title:Health Inf Sci Syst

Author:

Jin Yuanyuan,Ji Wendi,Shi Yao,Wang Xiaoling,Yang Xiaochun

Funder

National Natural Science Foundation of China

Science and Technology Commission of Shanghai Municipality

Special assistance for Chinese postdoctoral staff

Publisher

Springer Science and Business Media LLC

Subject

General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s13755-022-00207-6.pdf

Reference57 articles.

1. Zhang Rz Yu, Sj Bai H, Ning K. TCM-Mesh: the database and analytical system for network pharmacology analysis for TCM preparations. Sci Rep. 2017;7(1):1–14.

2. Cheung F. TCM: made in China. Nature. 2011;480(7378):S82–3.

3. Jl Ren, Zhang AH, Wang XJ. Traditional Chinese medicine for COVID-19 treatment. Pharmacol Res. 2020;155: 104743.

4. Wang X, Zhang Y, Wang X, Chen JA. Knowledge graph enhanced topic modeling approach for herb recommendation. In: DASFAA; 2019. p. 709–24.

5. Jin Y, Zhang W, He X, Wang X, Wang X. Syndrome-aware herb recommendation with multi-graph convolution network. In: ICDE. IEEE; 2020. p. 145–56.

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