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Journal Abstract Search

837 related items for PubMed ID: 34889446

  • 1. 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]

  • 2. Predicting lncRNA-protein interactions with bipartite graph embedding and deep graph neural networks.
    Ma Y, Zhang H, Jin C, Kang C.
    Front Genet; 2023 Jan 17; 14():1136672. PubMed ID: 36845380
    [Abstract] [Full Text] [Related]

  • 3. Pre-training graph neural networks for link prediction in biomedical networks.
    Long Y, Wu M, Liu Y, Fang Y, Kwoh CK, Chen J, Luo J, Li X.
    Bioinformatics; 2022 Apr 12; 38(8):2254-2262. PubMed ID: 35171981
    [Abstract] [Full Text] [Related]

  • 4. LDAGM: prediction lncRNA-disease asociations by graph convolutional auto-encoder and multilayer perceptron based on multi-view heterogeneous networks.
    Zhang B, Wang H, Ma C, Huang H, Fang Z, Qu J.
    BMC Bioinformatics; 2024 Oct 15; 25(1):332. PubMed ID: 39407120
    [Abstract] [Full Text] [Related]

  • 5. SFGAE: a self-feature-based graph autoencoder model for miRNA-disease associations prediction.
    Ma M, Na S, Zhang X, Chen C, Xu J.
    Brief Bioinform; 2022 Sep 20; 23(5):. PubMed ID: 36037084
    [Abstract] [Full Text] [Related]

  • 6. Graph Convolutional Network and Convolutional Neural Network Based Method for Predicting lncRNA-Disease Associations.
    Xuan P, Pan S, Zhang T, Liu Y, Sun H.
    Cells; 2019 Aug 30; 8(9):. PubMed ID: 31480350
    [Abstract] [Full Text] [Related]

  • 7. NPI-GNN: Predicting ncRNA-protein interactions with deep graph neural networks.
    Shen ZA, Luo T, Zhou YK, Yu H, Du PF.
    Brief Bioinform; 2021 Sep 02; 22(5):. PubMed ID: 33822882
    [Abstract] [Full Text] [Related]

  • 8. 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 02; 148():105823. PubMed ID: 35872410
    [Abstract] [Full Text] [Related]

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  • 10. Augmented Graph Neural Network with hierarchical global-based residual connections.
    Rassil A, Chougrad H, Zouaki H.
    Neural Netw; 2022 Jun 02; 150():149-166. PubMed ID: 35313247
    [Abstract] [Full Text] [Related]

  • 11. Multiphysical graph neural network (MP-GNN) for COVID-19 drug design.
    Li XS, Liu X, Lu L, Hua XS, Chi Y, Xia K.
    Brief Bioinform; 2022 Jul 18; 23(4):. PubMed ID: 35696650
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  • 13. Boosting-GNN: Boosting Algorithm for Graph Networks on Imbalanced Node Classification.
    Shi S, Qiao K, Yang S, Wang L, Chen J, Yan B.
    Front Neurorobot; 2021 Jul 18; 15():775688. PubMed ID: 34899230
    [Abstract] [Full Text] [Related]

  • 14. FP-GNN: a versatile deep learning architecture for enhanced molecular property prediction.
    Cai H, Zhang H, Zhao D, Wu J, Wang L.
    Brief Bioinform; 2022 Nov 19; 23(6):. PubMed ID: 36124766
    [Abstract] [Full Text] [Related]

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  • 16. Predicting the potential human lncRNA-miRNA interactions based on graph convolution network with conditional random field.
    Wang W, Zhang L, Sun J, Zhao Q, Shuai J.
    Brief Bioinform; 2022 Nov 19; 23(6):. PubMed ID: 36305458
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  • 19. Multi-view Multichannel Attention Graph Convolutional Network for miRNA-disease association prediction.
    Tang X, Luo J, Shen C, Lai Z.
    Brief Bioinform; 2021 Nov 05; 22(6):. PubMed ID: 33963829
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