SGFNNs: Signed Graph Filtering-based Neural Networks for Predicting Drug–Drug Interactions-Reference-Cited by-同舟云学术

SGFNNs: Signed Graph Filtering-based Neural Networks for Predicting Drug–Drug Interactions

Published:2022-10-01 Issue:10 Volume:29 Page:1104-1116
ISSN:1557-8666
Container-title:Journal of Computational Biology
language:en
Short-container-title:Journal of Computational Biology

Author:

Chen Ming¹^ORCID,Jiang Wei¹^ORCID,Pan Yi²,Dai Jianhua¹,Lei Yunwen³,Ji Chunyan⁴

Affiliation:

1. Department of Artificial Intelligence, College of Information Science and Engineering, Hunan Normal University, Changsha, Hunan, China.

2. Faculty of Computer Science and Control Engineering, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China.

3. School of Computer Science, University of Birmingham, Birmingham, United Kingdom.

4. Department of Computer Science, Georgia State University, Atlanta, Georgia, USA.

Publisher

Mary Ann Liebert Inc

Subject

Computational Theory and Mathematics,Computational Mathematics,Genetics,Molecular Biology,Modeling and Simulation

Link

https://www.liebertpub.com/doi/pdf/10.1089/cmb.2022.0113

Reference28 articles.

1. Chu, X., Lin, Y., Wang, Y., et al. 2019. MLRDA: A multi-task semi-supervised learning framework for drug–drug interaction prediction, 4518–4524. Proceedings of the 28th International Joint Conference on Artificial Intelligence. Masco, China.

2. Drug–drug interaction prediction with Wasserstein Adversarial Autoencoder-based knowledge graph embeddings

3. Graph Signal Processing for Machine Learning: A Review and New Perspectives

4. DPDDI: a deep predictor for drug-drug interactions

5. Gionis, A., Matakos, A., Ordozgoiti, B., et al. 2020. Mining signed networks: Theory and applications, 309–310. Companion Proceedings of the Web Conference 2020. Taipei, Taiwan, China.

Cited by 3 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. Knowledge Graphs in Pharmacovigilance: A Scoping Review;Clinical Therapeutics;2024-07

2. Drug-Target Interactions Prediction Based on Signed Heterogeneous Graph Neural Networks;Chinese Journal of Electronics;2024-01

3. Multi-filter Based Signed Graph Convolutional Networks for Predicting Interactions on Drug Networks;Lecture Notes in Computer Science;2024