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 *

118 related articles for article (PubMed ID: 38346190)

  • 1. Homophily modulates double descent generalization in graph convolution networks.
    Shi C; Pan L; Hu H; Dokmanić I
    Proc Natl Acad Sci U S A; 2024 Feb; 121(8):e2309504121. PubMed ID: 38346190
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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; 2024 Oct; 35(10):13383-13396. PubMed ID: 37195851
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Generalized heterophily graph data augmentation for node classification.
    Tang B; Chen X; Wang S; Xuan Y; Zhao Z
    Neural Netw; 2023 Nov; 168():339-349. PubMed ID: 37797396
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Differentially Private Graph Neural Networks for Whole-Graph Classification.
    Mueller TT; Paetzold JC; Prabhakar C; Usynin D; Rueckert D; Kaissis G
    IEEE Trans Pattern Anal Mach Intell; 2023 Jun; 45(6):7308-7318. PubMed ID: 37015371
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Spatiotemporal convolution sleep network based on graph attention mechanism with automatic feature extraction.
    Hu Y; Shi W; Yeh CH
    Comput Methods Programs Biomed; 2024 Feb; 244():107930. PubMed ID: 38008039
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Fast Haar Transforms for Graph Neural Networks.
    Li M; Ma Z; Wang YG; Zhuang X
    Neural Netw; 2020 Aug; 128():188-198. PubMed ID: 32447263
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. BI-FedGNN: Federated graph neural networks framework based on Bayesian inference.
    Gao R; Liu Z; Jiang C; Wang Y; Wang S; Wang P
    Neural Netw; 2024 Jan; 169():143-153. PubMed ID: 37890364
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Homophily-Enhanced Self-Supervision for Graph Structure Learning: Insights and Directions.
    Wu L; Lin H; Liu Z; Liu Z; Huang Y; Li SZ
    IEEE Trans Neural Netw Learn Syst; 2024 Sep; 35(9):12358-12372. PubMed ID: 37079406
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Generalizing Graph Neural Networks on Out-of-Distribution Graphs.
    Fan S; Wang X; Shi C; Cui P; Wang B
    IEEE Trans Pattern Anal Mach Intell; 2024 Jan; 46(1):322-337. PubMed ID: 37782581
    [TBL] [Abstract][Full Text] [Related]  

  • 12. muxGNN: Multiplex Graph Neural Network for Heterogeneous Graphs.
    Melton J; Krishnan S
    IEEE Trans Pattern Anal Mach Intell; 2023 Sep; 45(9):11067-11078. PubMed ID: 37030828
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. The Vapnik-Chervonenkis dimension of graph and recursive neural networks.
    Scarselli F; Tsoi AC; Hagenbuchner M
    Neural Netw; 2018 Dec; 108():248-259. PubMed ID: 30219742
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. Hyperbolic relational graph convolution networks plus: a simple but highly efficient QSAR-modeling method.
    Wu Z; Jiang D; Hsieh CY; Chen G; Liao B; Cao D; Hou T
    Brief Bioinform; 2021 Sep; 22(5):. PubMed ID: 33866354
    [TBL] [Abstract][Full Text] [Related]  

  • 17. MECCH: Metapath Context Convolution-based Heterogeneous Graph Neural Networks.
    Fu X; King I
    Neural Netw; 2024 Feb; 170():266-275. PubMed ID: 38000310
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Enhanced Scalable Graph Neural Network via Knowledge Distillation.
    Mai C; Chang Y; Chen C; Zheng Z
    IEEE Trans Neural Netw Learn Syst; 2023 Nov; PP():. PubMed ID: 37999962
    [TBL] [Abstract][Full Text] [Related]  

  • 19. High-dimensional dynamics of generalization error in neural networks.
    Advani MS; Saxe AM; Sompolinsky H
    Neural Netw; 2020 Dec; 132():428-446. PubMed ID: 33022471
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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; 2024 Oct; 35(10):14903-14917. PubMed ID: 37368807
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.