Relation-aware graph structure embedding with co-contrastive learning for drug–drug interaction prediction-Reference-Cited by-同舟云学术

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Relation-aware graph structure embedding with co-contrastive learning for drug–drug interaction prediction

Published:2024-03 Issue: Volume:572 Page:127203
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Jiang Mengying,Liu Guizhong,Zhao Biao^ORCID,Su Yuanchao^ORCID,Jin Weiqiang

Publisher

Elsevier BV

Reference48 articles.

1. SCAN: A shared causal attention network for adverse drug reactions detection in tweets;Kayesh;Neurocomputing,2022

2. Identifying adverse drug reaction entities from social media with adversarial transfer learning model;Zhang;Neurocomputing,2021

3. Novel deep learning model for more accurate prediction of drug-drug interaction effects;Lee;BMC Bioinformatics,2019

4. Identification of drug-target interactions via multi-view graph regularized link propagation model;Ding;Neurocomputing,2021

5. Detection of drug-drug interactions through data mining studies using clinical sources, scientific literature and social media;Vilar;Brief. Bioinform.,2018

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. MPHGCL-DDI: Meta-Path-Based Heterogeneous Graph Contrastive Learning for Drug-Drug Interaction Prediction;Molecules;2024-05-24

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