Prediction of Drug Interactions Using Graph-Topological Features and GNN
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-34107-6_11
Reference16 articles.
1. Lin, S., et al.: MDF-SA-DDI: predicting drug-drug interaction events based on multi-source drug fusion, multi-source feature fusion and transformer self-attention mechanism. In: Briefings in Bioinformatics, vol. 23, January 2022. https://doi.org/10.1093/bib/bbab421
2. Rohani, N., Eslahchi, C.: Drug-drug interaction predicting by neural network using integrated similarity. Sci. Rep. 9, 13645 (2019). https://doi.org/10.1038/s41598-019-50121-3
3. Liu, S., et al.: Enhancing drug-drug interaction prediction using deep attention neural networks. IEEE/ACM Trans. Comput. Biol. Bioinform. 20, 976–985 (2022). https://doi.org/10.1109/TCBB.2022.3172421
4. Yan, C., Duan, G., Zhang, Y., Wu, F.-X., Pan, Y., Wang, J.: Predicting drug-drug interactions based on integrated similarity and semi-supervised learning. IEEE/ACM Trans. Comput. Biol. Bioinform. 19(1), 168–179 (2022). https://doi.org/10.1109/TCBB.2020.2988018
5. Acharya, D.B., Zhang, H.: Feature Selection and Extraction for Graph Neural Networks. In: Proceedings of the 2020 ACM Southeast Conference (ACM SE 2020), pp. 252–255 (2019)
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