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 *

174 related articles for article (PubMed ID: 39141457)

  • 1. Automatic Design of Deep Graph Neural Networks With Decoupled Mode.
    Tao Q; Cai R; Lin Z; Tang Y
    IEEE Trans Neural Netw Learn Syst; 2024 Aug; PP():. PubMed ID: 39141457
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Auto-GNN: Neural architecture search of graph neural networks.
    Zhou K; Huang X; Song Q; Chen R; Hu X
    Front Big Data; 2022; 5():1029307. PubMed ID: 36466713
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. 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]  

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

  • 6. Graph Neural Networks and Their Current Applications in Bioinformatics.
    Zhang XM; Liang L; Liu L; Tang MJ
    Front Genet; 2021; 12():690049. PubMed ID: 34394185
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A deep graph convolutional neural network architecture for graph classification.
    Zhou Y; Huo H; Hou Z; Bu F
    PLoS One; 2023; 18(3):e0279604. PubMed ID: 36897837
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. 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]  

  • 10. 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]  

  • 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. 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]  

  • 13. Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency Analysis.
    Besta M; Hoefler T
    IEEE Trans Pattern Anal Mach Intell; 2024 May; 46(5):2584-2606. PubMed ID: 38386570
    [TBL] [Abstract][Full Text] [Related]  

  • 14. GTC: GNN-Transformer co-contrastive learning for self-supervised heterogeneous graph representation.
    Sun Y; Zhu D; Wang Y; Fu Y; Tian Z
    Neural Netw; 2024 Aug; 181():106645. PubMed ID: 39395234
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Multiphysical graph neural network (MP-GNN) for COVID-19 drug design.
    Li XS; Liu X; Lu L; Hua XS; Chi Y; Xia K
    Brief Bioinform; 2022 Jul; 23(4):. PubMed ID: 35696650
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. 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]  

  • 18. GNNLens: A Visual Analytics Approach for Prediction Error Diagnosis of Graph Neural Networks.
    Jin Z; Wang Y; Wang Q; Ming Y; Ma T; Qu H
    IEEE Trans Vis Comput Graph; 2023 Jun; 29(6):3024-3038. PubMed ID: 35120004
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Harnessing collective structure knowledge in data augmentation for graph neural networks.
    Ma R; Pang G; Chen L
    Neural Netw; 2024 Aug; 180():106651. PubMed ID: 39217862
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 9.