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For: Yao H, Guan J, Liu T. Denoising Protein-Protein interaction network via variational graph auto-encoder for protein complex detection. J Bioinform Comput Biol 2020;18:2040010. [PMID: 32698725 DOI: 10.1142/S0219720020400107] [Cited by in Crossref: 9] [Cited by in F6Publishing: 11] [Article Influence: 4.5] [Reference Citation Analysis]
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1 Li MM, Huang K, Zitnik M. Graph representation learning in biomedicine and healthcare. Nat Biomed Eng 2022;6:1353-69. [PMID: 36316368 DOI: 10.1038/s41551-022-00942-x] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
2 Lagisetty Y, Bourquard T, Al-ramahi I, Mangleburg CG, Mota S, Soleimani S, Shulman JM, Botas J, Lee K, Lichtarge O. Identification of risk genes for Alzheimer’s disease by gene embedding. Cell Genomics 2022;2:100162. [DOI: 10.1016/j.xgen.2022.100162] [Reference Citation Analysis]
3 Sheng J, Xue J, Li P, Yi N. [A protein complex recognition method based on spatial-temporal graph convolution neural network]. Nan Fang Yi Ke Da Xue Xue Bao 2022;42:1075-81. [PMID: 35869773 DOI: 10.12122/j.issn.1673-4254.2022.07.17] [Reference Citation Analysis]
4 Ren Z, Yu C, Li L, You Z, Guan Y, Li Y, Pan J. SAWRPI: A Stacking Ensemble Framework With Adaptive Weight for Predicting ncRNA-Protein Interactions Using Sequence Information. Front Genet 2022;13:839540. [DOI: 10.3389/fgene.2022.839540] [Reference Citation Analysis]
5 Xiao Z, Yuan H, Li W, Jiang N, Xia Y. Highly-Confident Protein Interactome Prediction via Variational Autoencoder. 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC) 2021. [DOI: 10.1109/smc52423.2021.9659005] [Reference Citation Analysis]
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7 Zhang XM, Liang L, Liu L, Tang MJ. Graph Neural Networks and Their Current Applications in Bioinformatics. Front Genet 2021;12:690049. [PMID: 34394185 DOI: 10.3389/fgene.2021.690049] [Cited by in Crossref: 16] [Cited by in F6Publishing: 20] [Article Influence: 8.0] [Reference Citation Analysis]
8 于 杨. Review of Computational Method for Protein Complex Identification Based on Dynamic PPI Networks. CSA 2020;10:2419-2424. [DOI: 10.12677/csa.2020.1012256] [Reference Citation Analysis]