Multi-Visit Interactive Recalibration Network for Drug Recommendation with a Triple Graph Encoder-Reference-Cited by-同舟云学术

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Multi-Visit Interactive Recalibration Network for Drug Recommendation with a Triple Graph Encoder

Published:2023-12-05 Issue: Volume: Page:2040-2043
ISSN:
Container-title:2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
language:
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Author:

Li Xiaobo¹,Zhang Yijia¹,Hou Xiaodi¹,Meng Fanjun²,Lin Hongfei³

Affiliation:

1. Dalian Maritime University,School of Information Science and Technology,Dalian,China

2. Dalian Maritime University,School of Artificial Intelligence,Dalian,China

3. Dalian University of Technology,School of Computer Science and Technology,Dalian,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10385250/10385251/10385652.pdf?arnumber=10385652

Reference15 articles.

1. INPREM: An Interpretable and Trustworthy Predictive Model for Healthcare

2. Deep Learning for Medication Recommendation: A Systematic Survey

3. LEAP

4. Knowledge-Enhanced Dual Graph Neural Network for Robust Medicine Recommendation

5. DGCL: Distance-wise and Graph Contrastive Learning for medication recommendation

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