These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

369 related articles for article (PubMed ID: 36430688)

  • 21. Visualizing Graph Neural Networks With CorGIE: Corresponding a Graph to Its Embedding.
    Liu Z; Wang Y; Bernard J; Munzner T
    IEEE Trans Vis Comput Graph; 2022 Jun; 28(6):2500-2516. PubMed ID: 35120005
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Graph Neural Networks for Learning Molecular Excitation Spectra.
    Singh K; Münchmeyer J; Weber L; Leser U; Bande A
    J Chem Theory Comput; 2022 Jul; 18(7):4408-4417. PubMed ID: 35671364
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Graph Transformer Networks: Learning meta-path graphs to improve GNNs.
    Yun S; Jeong M; Yoo S; Lee S; Yi SS; Kim R; Kang J; Kim HJ
    Neural Netw; 2022 Sep; 153():104-119. PubMed ID: 35716619
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Soft computing model for optimized siRNA design by identifying off target possibilities using artificial neural network model.
    Murali R; John PG; Peter S D
    Gene; 2015 May; 562(2):152-8. PubMed ID: 25725126
    [TBL] [Abstract][Full Text] [Related]  

  • 25. SkipGNN: predicting molecular interactions with skip-graph networks.
    Huang K; Xiao C; Glass LM; Zitnik M; Sun J
    Sci Rep; 2020 Dec; 10(1):21092. PubMed ID: 33273494
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Identifying drug-target interactions based on graph convolutional network and deep neural network.
    Zhao T; Hu Y; Valsdottir LR; Zang T; Peng J
    Brief Bioinform; 2021 Mar; 22(2):2141-2150. PubMed ID: 32367110
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Metapath-aggregated heterogeneous graph neural network for drug-target interaction prediction.
    Li M; Cai X; Xu S; Ji H
    Brief Bioinform; 2023 Jan; 24(1):. PubMed ID: 36592060
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Ensemble-GNN: federated ensemble learning with graph neural networks for disease module discovery and classification.
    Pfeifer B; Chereda H; Martin R; Saranti A; Clemens S; Hauschild AC; Beißbarth T; Holzinger A; Heider D
    Bioinformatics; 2023 Nov; 39(11):. PubMed ID: 37988152
    [TBL] [Abstract][Full Text] [Related]  

  • 29. EPGAT: Gene Essentiality Prediction With Graph Attention Networks.
    Schapke J; Tavares A; Recamonde-Mendoza M
    IEEE/ACM Trans Comput Biol Bioinform; 2022; 19(3):1615-1626. PubMed ID: 33497339
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Explaining decisions of graph convolutional neural networks: patient-specific molecular subnetworks responsible for metastasis prediction in breast cancer.
    Chereda H; Bleckmann A; Menck K; Perera-Bel J; Stegmaier P; Auer F; Kramer F; Leha A; Beißbarth T
    Genome Med; 2021 Mar; 13(1):42. PubMed ID: 33706810
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Revisiting graph neural networks from hybrid regularized graph signal reconstruction.
    Miao J; Cao F; Ye H; Li M; Yang B
    Neural Netw; 2023 Jan; 157():444-459. PubMed ID: 36427414
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Weisfeiler-Lehman goes dynamic: An analysis of the expressive power of Graph Neural Networks for attributed and dynamic graphs.
    Beddar-Wiesing S; D'Inverno GA; Graziani C; Lachi V; Moallemy-Oureh A; Scarselli F; Thomas JM
    Neural Netw; 2024 May; 173():106213. PubMed ID: 38428377
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Graph Signal Processing, Graph Neural Network and Graph Learning on Biological Data: A Systematic Review.
    Li R; Yuan X; Radfar M; Marendy P; Ni W; O'Brien TJ; Casillas-Espinosa P
    IEEE Rev Biomed Eng; 2023; 16():109-135. PubMed ID: 34699368
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Self-Explainable Graph Neural Network for Alzheimer Disease and Related Dementias Risk Prediction: Algorithm Development and Validation Study.
    Hu X; Sun Z; Nian Y; Wang Y; Dang Y; Li F; Feng J; Yu E; Tao C
    JMIR Aging; 2024 Jul; 7():e54748. PubMed ID: 38976869
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Graph Neural Networks in Network Neuroscience.
    Bessadok A; Mahjoub MA; Rekik I
    IEEE Trans Pattern Anal Mach Intell; 2023 May; 45(5):5833-5848. PubMed ID: 36155474
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Dual graph convolutional neural network for predicting chemical networks.
    Harada S; Akita H; Tsubaki M; Baba Y; Takigawa I; Yamanishi Y; Kashima H
    BMC Bioinformatics; 2020 Apr; 21(Suppl 3):94. PubMed ID: 32321421
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Deep Constraint-Based Propagation in Graph Neural Networks.
    Tiezzi M; Marra G; Melacci S; Maggini M
    IEEE Trans Pattern Anal Mach Intell; 2022 Feb; 44(2):727-739. PubMed ID: 33856980
    [TBL] [Abstract][Full Text] [Related]  

  • 38. MGAT: Multi-view Graph Attention Networks.
    Xie Y; Zhang Y; Gong M; Tang Z; Han C
    Neural Netw; 2020 Dec; 132():180-189. PubMed ID: 32911303
    [TBL] [Abstract][Full Text] [Related]  

  • 39. De novo prediction of RNA-protein interactions with graph neural networks.
    Arora V; Sanguinetti G
    RNA; 2022 Nov; 28(11):1469-1480. PubMed ID: 36008134
    [TBL] [Abstract][Full Text] [Related]  

  • 40. A Novel Graph Neural Network Methodology to Investigate Dihydroorotate Dehydrogenase Inhibitors in Small Cell Lung Cancer.
    Zhi HY; Zhao L; Lee CC; Chen CY
    Biomolecules; 2021 Mar; 11(3):. PubMed ID: 33806898
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 19.