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 *

207 related articles for article (PubMed ID: 36277841)

  • 1. Spatial-Temporal Synchronous Graph Transformer network (STSGT) for COVID-19 forecasting.
    Banerjee S; Dong M; Shi W
    Smart Health (Amst); 2022 Dec; 26():100348. PubMed ID: 36277841
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Spatial-Temporal Convolutional Transformer Network for Multivariate Time Series Forecasting.
    Huang L; Mao F; Zhang K; Li Z
    Sensors (Basel); 2022 Jan; 22(3):. PubMed ID: 35161585
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Interaction-Temporal GCN: A Hybrid Deep Framework For Covid-19 Pandemic Analysis.
    Yu Z; Zheng X; Yang Z; Lu B; Li X; Fu M
    IEEE Open J Eng Med Biol; 2021; 2():97-103. PubMed ID: 34812421
    [TBL] [Abstract][Full Text] [Related]  

  • 4. MVSTT: A Multiview Spatial-Temporal Transformer Network for Traffic-Flow Forecasting.
    Pu B; Liu J; Kang Y; Chen J; Yu PS
    IEEE Trans Cybern; 2024 Mar; 54(3):1582-1595. PubMed ID: 37015356
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A Hybrid Model Based on Improved Transformer and Graph Convolutional Network for COVID-19 Forecasting.
    Li Y; Ma K
    Int J Environ Res Public Health; 2022 Sep; 19(19):. PubMed ID: 36231828
    [TBL] [Abstract][Full Text] [Related]  

  • 6. STHSGCN: Spatial-temporal heterogeneous and synchronous graph convolution network for traffic flow prediction.
    Yu X; Bao YX; Shi Q
    Heliyon; 2023 Sep; 9(9):e19927. PubMed ID: 37809690
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Dynamic Causal Explanation Based Diffusion-Variational Graph Neural Network for Spatiotemporal Forecasting.
    Liang G; Tiwari P; Nowaczyk S; Byttner S; Alonso-Fernandez F
    IEEE Trans Neural Netw Learn Syst; 2024 Jul; PP():. PubMed ID: 38980780
    [TBL] [Abstract][Full Text] [Related]  

  • 8. MD-GCN: A Multi-Scale Temporal Dual Graph Convolution Network for Traffic Flow Prediction.
    Huang X; Wang J; Lan Y; Jiang C; Yuan X
    Sensors (Basel); 2023 Jan; 23(2):. PubMed ID: 36679639
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Spatial linear transformer and temporal convolution network for traffic flow prediction.
    Xing Z; Huang M; Li W; Peng D
    Sci Rep; 2024 Feb; 14(1):4040. PubMed ID: 38369549
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Synchronous Spatiotemporal Graph Transformer: A New Framework for Traffic Data Prediction.
    Wang T; Chen J; Lu J; Liu K; Zhu A; Snoussi H; Zhang B
    IEEE Trans Neural Netw Learn Syst; 2023 Dec; 34(12):10589-10599. PubMed ID: 35522636
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Dynamic Graph Message Passing Networks.
    Zhang L; Chen M; Arnab A; Xue X; Torr PHS
    IEEE Trans Pattern Anal Mach Intell; 2023 May; 45(5):5712-5730. PubMed ID: 36121952
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Bidirectional Spatial-Temporal Adaptive Transformer for Urban Traffic Flow Forecasting.
    Chen C; Liu Y; Chen L; Zhang C
    IEEE Trans Neural Netw Learn Syst; 2023 Oct; 34(10):6913-6925. PubMed ID: 35771780
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A Spatial-Temporal Graph Convolutional Recurrent Network for Transportation Flow Estimation.
    Drosouli I; Voulodimos A; Mastorocostas P; Miaoulis G; Ghazanfarpour D
    Sensors (Basel); 2023 Aug; 23(17):. PubMed ID: 37687992
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Disentangled Dynamic Deviation Transformer Networks for Multivariate Time Series Anomaly Detection.
    Wang C; Xing S; Gao R; Yan L; Xiong N; Wang R
    Sensors (Basel); 2023 Jan; 23(3):. PubMed ID: 36772143
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Sparse transformer with local and seasonal adaptation for multivariate time series forecasting.
    Zhang Y; Wu R; Dascalu SM; Harris FC
    Sci Rep; 2024 Jul; 14(1):15909. PubMed ID: 38987385
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Traffic forecasting with graph spatial-temporal position recurrent network.
    Chen Y; Li K; Yeo CK; Li K
    Neural Netw; 2023 May; 162():340-349. PubMed ID: 36940494
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Subgraph-aware graph structure revision for spatial-temporal graph modeling.
    Wang Y; Zhang C; Xiang S; Pan C
    Neural Netw; 2022 Oct; 154():190-202. PubMed ID: 35905653
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Dynamic multiple-graph spatial-temporal synchronous aggregation framework for traffic prediction in intelligent transportation systems.
    Yu X; Bao Y; Shi Q
    PeerJ Comput Sci; 2024; 10():e1913. PubMed ID: 38435566
    [TBL] [Abstract][Full Text] [Related]  

  • 19. TraverseNet: Unifying Space and Time in Message Passing for Traffic Forecasting.
    Wu Z; Zheng D; Pan S; Gan Q; Long G; Karypis G
    IEEE Trans Neural Netw Learn Syst; 2024 Feb; 35(2):2003-2013. PubMed ID: 35834453
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Multiscale Temporal Self-Attention and Dynamical Graph Convolution Hybrid Network for EEG-Based Stereogram Recognition.
    Shen L; Sun M; Li Q; Li B; Pan Z; Lei J
    IEEE Trans Neural Syst Rehabil Eng; 2022; 30():1191-1202. PubMed ID: 35533169
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.