Open Access
Issue
BIO Web Conf.
Volume 174, 2025
2025 7th International Conference on Biotechnology and Biomedicine (ICBB 2025)
Article Number 03009
Number of page(s) 9
Section Technologies and Methodologies in Biomedical Research
DOI https://doi.org/10.1051/bioconf/202517403009
Published online 12 May 2025
  • Q. Zhang, X. Zhou, China J. Tradit. Chin. Med. Pharm., 36, 5 (2021). [Google Scholar]
  • Y.D. Zhang, K.F. Hu, T. Yang, J.D. Xie, G.L. Shen, Lishizhen Med. Mater. Med. Res., 30, 5 (2019). [Google Scholar]
  • C. Ruan, Y. Wang, Y. Zhang, Y. Yang, Exploring regularity in traditional Chinese medicine clinical data using heterogeneous weighted networks embedding (IEEE Press, Piscataway, 2019). [Google Scholar]
  • L. Yao, Y. Zhang, B. Wei, W. Zhang, Z. Jin, IEEE Trans. Knowl. Data Eng., 30, 6(2018). [Google Scholar]
  • D. Liu, Y. Zhang, L. Wang, A TCM therapeutic methods based on text convolutional neural network (IEEE Press, Piscataway, 2021). [Google Scholar]
  • X. Dong, Y. Zheng, Z. Shu, K. Chang, D. Yan, TCMPR: TCM Prescription recommendation based on subnetwork term mapping and deep learning. BioMed Research International (IEEE Press, Houston, 2021). [Google Scholar]
  • Y. Jin, W. Zhang, X. He, X. Wang, X. Wang, Syndrome-aware herb recommendation with multi-graph convolution network (IEEE, 2020). [Google Scholar]
  • Y. Yang, Y. Rao, M. Yu, Y. Kang, Neural Network, 146 (2022). [Google Scholar]
  • S. Li, W. Wang, J. He, KGAPG: Knowledge-Aware Neural Group Representation Learning for Attentive Prescription Generation of Traditional Chinese Medicine (IEEE Press, Houston, 2021). [Google Scholar]
  • F. Zhang, Y. Lin, L. Le, China J. Exp. Tradit. Med. Formulae, 26, 13(2020). [Google Scholar]
  • S. Hu, W. Hou, P. Ha, J. Li, S. Chu, J. Tradit. Chin. Med., 62, 6(2021). [Google Scholar]
  • F. Wang, J. Tradit. Chin. Med. Manag., 22, 3(2014). [Google Scholar]
  • X. Wang, H.Y. Jin, A. Zhang, X.N. He, T. Xu, Disentangled Graph Collaborative Filtering (ACM, New York, 2020). [Google Scholar]
  • U.M. Braga-Neto, Fundamentals of pattern recognition and machine learning (Springer, Heidelberg, 2020). [CrossRef] [Google Scholar]
  • D.P. Kingma, J.L. BA, Adam: A method for stochastic optimization (ICLR, Washington, 2015). [Google Scholar]
  • X. He, K. Deng, X. Wang, Y. Li, Y. Zhang, LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation (ACM, New York, 2020). [Google Scholar]

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