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 *

939 related articles for article (PubMed ID: 35750007)

  • 1. MGLNN: Semi-supervised learning via Multiple Graph Cooperative Learning Neural Networks.
    Jiang B; Chen S; Wang B; Luo B
    Neural Netw; 2022 Sep; 153():204-214. PubMed ID: 35750007
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A unified deep semi-supervised graph learning scheme based on nodes re-weighting and manifold regularization.
    Dornaika F; Bi J; Zhang C
    Neural Netw; 2023 Jan; 158():188-196. PubMed ID: 36462365
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Heterogeneous graph convolutional network for multi-view semi-supervised classification.
    Wang S; Huang S; Wu Z; Liu R; Chen Y; Zhang D
    Neural Netw; 2024 Oct; 178():106438. PubMed ID: 38906055
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Semisupervised Graph Neural Networks for Graph Classification.
    Xie Y; Liang Y; Gong M; Qin AK; Ong YS; He T
    IEEE Trans Cybern; 2023 Oct; 53(10):6222-6235. PubMed ID: 35476555
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A novel candidate disease gene prioritization method using deep graph convolutional networks and semi-supervised learning.
    Azadifar S; Ahmadi A
    BMC Bioinformatics; 2022 Oct; 23(1):422. PubMed ID: 36241966
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Graph Convolution Networks with manifold regularization for semi-supervised learning.
    Kejani MT; Dornaika F; Talebi H
    Neural Netw; 2020 Jul; 127():160-167. PubMed ID: 32361546
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Graph Neural Networks With Multiple Prior Knowledge for Multi-Omics Data Analysis.
    Xiao S; Lin H; Wang C; Wang S; Rajapakse JC
    IEEE J Biomed Health Inform; 2023 Sep; 27(9):4591-4600. PubMed ID: 37307177
    [TBL] [Abstract][Full Text] [Related]  

  • 9. LoyalDE: Improving the performance of Graph Neural Networks with loyal node discovery and emphasis.
    Wei H; Zhu Y; Li X; Jiang B
    Neural Netw; 2023 Jul; 164():719-730. PubMed ID: 37267849
    [TBL] [Abstract][Full Text] [Related]  

  • 10. DropAGG: Robust Graph Neural Networks via Drop Aggregation.
    Jiang B; Chen Y; Wang B; Xu H; Luo B
    Neural Netw; 2023 Jun; 163():65-74. PubMed ID: 37030276
    [TBL] [Abstract][Full Text] [Related]  

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

  • 12. On Inductive-Transductive Learning With Graph Neural Networks.
    Ciano G; Rossi A; Bianchini M; Scarselli F
    IEEE Trans Pattern Anal Mach Intell; 2022 Feb; 44(2):758-769. PubMed ID: 33493112
    [TBL] [Abstract][Full Text] [Related]  

  • 13. IHG-MA: Inductive heterogeneous graph multi-agent reinforcement learning for multi-intersection traffic signal control.
    Yang S; Yang B; Kang Z; Deng L
    Neural Netw; 2021 Jul; 139():265-277. PubMed ID: 33838602
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Comprehensive Study on Molecular Supervised Learning with Graph Neural Networks.
    Hwang D; Yang S; Kwon Y; Lee KH; Lee G; Jo H; Yoon S; Ryu S
    J Chem Inf Model; 2020 Dec; 60(12):5936-5945. PubMed ID: 33164522
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Multi-class motor imagery EEG classification using collaborative representation-based semi-supervised extreme learning machine.
    She Q; Zou J; Luo Z; Nguyen T; Li R; Zhang Y
    Med Biol Eng Comput; 2020 Sep; 58(9):2119-2130. PubMed ID: 32676841
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Contrastive learning of graphs under label noise.
    Li X; Li Q; Li D; Qian H; Wang J
    Neural Netw; 2024 Apr; 172():106113. PubMed ID: 38232430
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Multi-View Graph Neural Architecture Search for Biomedical Entity and Relation Extraction.
    Al-Sabri R; Gao J; Chen J; Oloulade BM; Lyu T
    IEEE/ACM Trans Comput Biol Bioinform; 2023; 20(2):1221-1233. PubMed ID: 36074877
    [TBL] [Abstract][Full Text] [Related]  

  • 18. SP-GNN: Learning structure and position information from graphs.
    Chen Y; You J; He J; Lin Y; Peng Y; Wu C; Zhu Y
    Neural Netw; 2023 Apr; 161():505-514. PubMed ID: 36805265
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. Deep reinforcement learning guided graph neural networks for brain network analysis.
    Zhao X; Wu J; Peng H; Beheshti A; Monaghan JJM; McAlpine D; Hernandez-Perez H; Dras M; Dai Q; Li Y; Yu PS; He L
    Neural Netw; 2022 Oct; 154():56-67. PubMed ID: 35853320
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 47.