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Journal Abstract Search

974 related items for PubMed ID: 32970681

  • 1. Graph embedding-based novel protein interaction prediction via higher-order graph convolutional network.
    Xiao Z, Deng Y.
    PLoS One; 2020; 15(9):e0238915. PubMed ID: 32970681
    [Abstract] [Full Text] [Related]

  • 2. Graph-based prediction of Protein-protein interactions with attributed signed graph embedding.
    Yang F, Fan K, Song D, Lin H.
    BMC Bioinformatics; 2020 Jul 21; 21(1):323. PubMed ID: 32693790
    [Abstract] [Full Text] [Related]

  • 3. DSSGNN-PPI: A Protein-Protein Interactions prediction model based on Double Structure and Sequence graph neural networks.
    Zhang F, Chang S, Wang B, Zhang X.
    Comput Biol Med; 2024 Jul 21; 177():108669. PubMed ID: 38833802
    [Abstract] [Full Text] [Related]

  • 4. Variational graph auto-encoders for miRNA-disease association prediction.
    Ding Y, Tian LP, Lei X, Liao B, Wu FX.
    Methods; 2021 Aug 21; 192():25-34. PubMed ID: 32798654
    [Abstract] [Full Text] [Related]

  • 5. Hi-GCN: A hierarchical graph convolution network for graph embedding learning of brain network and brain disorders prediction.
    Jiang H, Cao P, Xu M, Yang J, Zaiane O.
    Comput Biol Med; 2020 Dec 21; 127():104096. PubMed ID: 33166800
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  • 6. Minimum curvilinearity to enhance topological prediction of protein interactions by network embedding.
    Cannistraci CV, Alanis-Lobato G, Ravasi T.
    Bioinformatics; 2013 Jul 01; 29(13):i199-209. PubMed ID: 23812985
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  • 7. Denoising Protein-Protein interaction network via variational graph auto-encoder for protein complex detection.
    Yao H, Guan J, Liu T.
    J Bioinform Comput Biol; 2020 Jun 01; 18(3):2040010. PubMed ID: 32698725
    [Abstract] [Full Text] [Related]

  • 8. EGPDI: identifying protein-DNA binding sites based on multi-view graph embedding fusion.
    Zheng M, Sun G, Li X, Fan Y.
    Brief Bioinform; 2024 May 23; 25(4):. PubMed ID: 38975896
    [Abstract] [Full Text] [Related]

  • 9. LR-GNN: a graph neural network based on link representation for predicting molecular associations.
    Kang C, Zhang H, Liu Z, Huang S, Yin Y.
    Brief Bioinform; 2022 Jan 17; 23(1):. PubMed ID: 34889446
    [Abstract] [Full Text] [Related]

  • 10. Protein Complexes Detection Based on Semi-Supervised Network Embedding Model.
    Zhu J, Zheng Z, Yang M, Fung GPC, Huang C.
    IEEE/ACM Trans Comput Biol Bioinform; 2021 Jan 17; 18(2):797-803. PubMed ID: 31581089
    [Abstract] [Full Text] [Related]

  • 11. GNNGL-PPI: multi-category prediction of protein-protein interactions using graph neural networks based on global graphs and local subgraphs.
    Zeng X, Meng FF, Wen ML, Li SJ, Li Y.
    BMC Genomics; 2024 May 09; 25(1):406. PubMed ID: 38724906
    [Abstract] [Full Text] [Related]

  • 12. MAMF-GCN: Multi-scale adaptive multi-channel fusion deep graph convolutional network for predicting mental disorder.
    Pan J, Lin H, Dong Y, Wang Y, Ji Y.
    Comput Biol Med; 2022 Sep 09; 148():105823. PubMed ID: 35872410
    [Abstract] [Full Text] [Related]

  • 13. Multimodal deep representation learning for protein interaction identification and protein family classification.
    Zhang D, Kabuka M.
    BMC Bioinformatics; 2019 Dec 02; 20(Suppl 16):531. PubMed ID: 31787089
    [Abstract] [Full Text] [Related]

  • 14. A Graph Feature Auto-Encoder for the prediction of unobserved node features on biological networks.
    Hasibi R, Michoel T.
    BMC Bioinformatics; 2021 Oct 27; 22(1):525. PubMed ID: 34706640
    [Abstract] [Full Text] [Related]

  • 15. A Two-Stage Geometric Method for Pruning Unreliable Links in Protein-Protein Networks.
    Zhu L, Deng SP, Huang DS.
    IEEE Trans Nanobioscience; 2015 Jul 27; 14(5):528-34. PubMed ID: 25861086
    [Abstract] [Full Text] [Related]

  • 16. Improving protein-protein interaction prediction using protein language model and protein network features.
    Hu J, Li Z, Rao B, Thafar MA, Arif M.
    Anal Biochem; 2024 Oct 27; 693():115550. PubMed ID: 38679191
    [Abstract] [Full Text] [Related]

  • 17. Graph embeddings on gene ontology annotations for protein-protein interaction prediction.
    Zhong X, Rajapakse JC.
    BMC Bioinformatics; 2020 Dec 16; 21(Suppl 16):560. PubMed ID: 33323115
    [Abstract] [Full Text] [Related]

  • 18. Neural networks for link prediction in realistic biomedical graphs: a multi-dimensional evaluation of graph embedding-based approaches.
    Crichton G, Guo Y, Pyysalo S, Korhonen A.
    BMC Bioinformatics; 2018 May 21; 19(1):176. PubMed ID: 29783926
    [Abstract] [Full Text] [Related]

  • 19. CFAGO: cross-fusion of network and attributes based on attention mechanism for protein function prediction.
    Wu Z, Guo M, Jin X, Chen J, Liu B.
    Bioinformatics; 2023 Mar 01; 39(3):. PubMed ID: 36883697
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  • 20. Feature-Attention Graph Convolutional Networks for Noise Resilient Learning.
    Shi M, Tang Y, Zhu X, Zhuang Y, Lin M, Liu J.
    IEEE Trans Cybern; 2022 Aug 01; 52(8):7719-7731. PubMed ID: 35104237
    [Abstract] [Full Text] [Related]

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