BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

627 related articles for article (PubMed ID: 34471921)

  • 1. Graph representation learning in bioinformatics: trends, methods and applications.
    Yi HC; You ZH; Huang DS; Kwoh CK
    Brief Bioinform; 2022 Jan; 23(1):. PubMed ID: 34471921
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Graph Representation Learning and Its Applications: A Survey.
    Hoang VT; Jeon HJ; You ES; Yoon Y; Jung S; Lee OJ
    Sensors (Basel); 2023 Apr; 23(8):. PubMed ID: 37112507
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Survey on graph embeddings and their applications to machine learning problems on graphs.
    Makarov I; Kiselev D; Nikitinsky N; Subelj L
    PeerJ Comput Sci; 2021; 7():e357. PubMed ID: 33817007
    [TBL] [Abstract][Full Text] [Related]  

  • 4. edge2vec: Representation learning using edge semantics for biomedical knowledge discovery.
    Gao Z; Fu G; Ouyang C; Tsutsui S; Liu X; Yang J; Gessner C; Foote B; Wild D; Ding Y; Yu Q
    BMC Bioinformatics; 2019 Jun; 20(1):306. PubMed ID: 31238875
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Graph convolutional networks: a comprehensive review.
    Zhang S; Tong H; Xu J; Maciejewski R
    Comput Soc Netw; 2019; 6(1):11. PubMed ID: 37915858
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A Comprehensive Survey on Graph Neural Networks.
    Wu Z; Pan S; Chen F; Long G; Zhang C; Yu PS
    IEEE Trans Neural Netw Learn Syst; 2021 Jan; 32(1):4-24. PubMed ID: 32217482
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Biological applications of knowledge graph embedding models.
    Mohamed SK; Nounu A; Nováček V
    Brief Bioinform; 2021 Mar; 22(2):1679-1693. PubMed ID: 32065227
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Co-Embedding of Nodes and Edges With Graph Neural Networks.
    Jiang X; Zhu R; Ji P; Li S
    IEEE Trans Pattern Anal Mach Intell; 2023 Jun; 45(6):7075-7086. PubMed ID: 33052851
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Network embedding in biomedical data science.
    Su C; Tong J; Zhu Y; Cui P; Wang F
    Brief Bioinform; 2020 Jan; 21(1):182-197. PubMed ID: 30535359
    [TBL] [Abstract][Full Text] [Related]  

  • 10. GoVec: Gene Ontology Representation Learning Using Weighted Heterogeneous Graph and Meta-Path.
    Nourani E
    J Comput Biol; 2021 Dec; 28(12):1196-1207. PubMed ID: 34847734
    [TBL] [Abstract][Full Text] [Related]  

  • 11. TigeCMN: On exploration of temporal interaction graph embedding via Coupled Memory Neural Networks.
    Zhang Z; Bu J; Li Z; Yao C; Wang C; Wu J
    Neural Netw; 2021 Aug; 140():13-26. PubMed ID: 33743320
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Evaluating Representation Learning and Graph Layout Methods for Visualization.
    Heiter E; Kang B; De Bie T; Lijffijt J; Potel M
    IEEE Comput Graph Appl; 2022; 42(3):19-28. PubMed ID: 35671278
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Neuro-symbolic representation learning on biological knowledge graphs.
    Alshahrani M; Khan MA; Maddouri O; Kinjo AR; Queralt-Rosinach N; Hoehndorf R
    Bioinformatics; 2017 Sep; 33(17):2723-2730. PubMed ID: 28449114
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Graph-in-Graph (GiG): Learning interpretable latent graphs in non-Euclidean domain for biological and healthcare applications.
    Zaripova K; Cosmo L; Kazi A; Ahmadi SA; Bronstein MM; Navab N
    Med Image Anal; 2023 Aug; 88():102839. PubMed ID: 37263109
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Graph embedding and geometric deep learning relevance to network biology and structural chemistry.
    Lecca P; Lecca M
    Front Artif Intell; 2023; 6():1256352. PubMed ID: 38035201
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Discriminative graph embedding for label propagation.
    Nguyen CH; Mamitsuka H
    IEEE Trans Neural Netw; 2011 Sep; 22(9):1395-405. PubMed ID: 21788187
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Deep semi-supervised learning via dynamic anchor graph embedding in latent space.
    Tu E; Wang Z; Yang J; Kasabov N
    Neural Netw; 2022 Feb; 146():350-360. PubMed ID: 34929418
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Embedding graphs on Grassmann manifold.
    Zhou B; Zheng X; Wang YG; Li M; Gao J
    Neural Netw; 2022 Aug; 152():322-331. PubMed ID: 35598401
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Deep learning in bioinformatics.
    Min S; Lee B; Yoon S
    Brief Bioinform; 2017 Sep; 18(5):851-869. PubMed ID: 27473064
    [TBL] [Abstract][Full Text] [Related]  

  • 20. HINGRL: predicting drug-disease associations with graph representation learning on heterogeneous information networks.
    Zhao BW; Hu L; You ZH; Wang L; Su XR
    Brief Bioinform; 2022 Jan; 23(1):. PubMed ID: 34891172
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 32.