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 *

206 related articles for article (PubMed ID: 36141076)

  • 1. A Block-Based Adaptive Decoupling Framework for Graph Neural Networks.
    Shen X; Zhang Y; Xie Y; Wong KC; Peng C
    Entropy (Basel); 2022 Aug; 24(9):. PubMed ID: 36141076
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Co-embedding of edges and nodes with deep graph convolutional neural networks.
    Zhou Y; Huo H; Hou Z; Bu L; Mao J; Wang Y; Lv X; Bu F
    Sci Rep; 2023 Oct; 13(1):16966. PubMed ID: 37807013
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Graph Decoupling Attention Markov Networks for Semisupervised Graph Node Classification.
    Chen J; Chen S; Bai M; Pu J; Zhang J; Gao J
    IEEE Trans Neural Netw Learn Syst; 2023 Dec; 34(12):9859-9873. PubMed ID: 35349458
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural Networks.
    Liu C; Ma X; Zhan Y; Ding L; Tao D; Du B; Hu W; Mandic DP
    IEEE Trans Neural Netw Learn Syst; 2023 Jun; PP():. PubMed ID: 37368807
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. Exploiting Neighbor Effect: Conv-Agnostic GNN Framework for Graphs With Heterophily.
    Chen J; Chen S; Gao J; Huang Z; Zhang J; Pu J
    IEEE Trans Neural Netw Learn Syst; 2023 May; PP():. PubMed ID: 37195851
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Enhancing Graph Neural Networks by a High-quality Aggregation of Beneficial Information.
    Liu C; Wu J; Liu W; Hu W
    Neural Netw; 2021 Oct; 142():20-33. PubMed ID: 33964476
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Another Perspective of Over-Smoothing: Alleviating Semantic Over-Smoothing in Deep GNNs.
    Li J; Zhang Q; Liu W; Chan AB; Fu YG
    IEEE Trans Neural Netw Learn Syst; 2024 May; PP():. PubMed ID: 38809736
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Decouple Graph Neural Networks: Train Multiple Simple GNNs Simultaneously Instead of One.
    Zhang H; Zhu Y; Li X
    IEEE Trans Pattern Anal Mach Intell; 2024 Apr; PP():. PubMed ID: 38652618
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Reverse Graph Learning for Graph Neural Network.
    Peng L; Hu R; Kong F; Gan J; Mo Y; Shi X; Zhu X
    IEEE Trans Neural Netw Learn Syst; 2024 Apr; 35(4):4530-4541. PubMed ID: 35380973
    [TBL] [Abstract][Full Text] [Related]  

  • 15. GPENs: Graph Data Learning With Graph Propagation-Embedding Networks.
    Jiang B; Wang L; Cheng J; Tang J; Luo B
    IEEE Trans Neural Netw Learn Syst; 2023 Aug; 34(8):3925-3938. PubMed ID: 34705657
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Self-Paced Co-Training of Graph Neural Networks for Semi-Supervised Node Classification.
    Gong M; Zhou H; Qin AK; Liu W; Zhao Z
    IEEE Trans Neural Netw Learn Syst; 2023 Nov; 34(11):9234-9247. PubMed ID: 35312623
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Two-Level Graph Neural Network.
    Ai X; Sun C; Zhang Z; Hancock ER
    IEEE Trans Neural Netw Learn Syst; 2024 Apr; 35(4):4593-4606. PubMed ID: 35167481
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Beyond low-pass filtering on large-scale graphs via Adaptive Filtering Graph Neural Networks.
    Zhang Q; Li J; Sun Y; Wang S; Gao J; Yin B
    Neural Netw; 2024 Jan; 169():1-10. PubMed ID: 37852165
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Toward Robust Graph Semi-Supervised Learning Against Extreme Data Scarcity.
    Ding K; Nouri E; Zheng G; Liu H; White R
    IEEE Trans Neural Netw Learn Syst; 2024 Feb; PP():. PubMed ID: 38421848
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.