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 *

290 related articles for article (PubMed ID: 36792041)

  • 1. Multi-sample dual-decoder graph autoencoder.
    He M; Zhao Q; Zhang H
    Methods; 2023 Mar; 211():31-41. PubMed ID: 36792041
    [TBL] [Abstract][Full Text] [Related]  

  • 2. BatmanNet: bi-branch masked graph transformer autoencoder for molecular representation.
    Wang Z; Feng Z; Li Y; Li B; Wang Y; Sha C; He M; Li X
    Brief Bioinform; 2023 Nov; 25(1):. PubMed ID: 38033291
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Graph Autoencoder with Preserving Node Attribute Similarity.
    Lin M; Wen K; Zhu X; Zhao H; Sun X
    Entropy (Basel); 2023 Mar; 25(4):. PubMed ID: 37190356
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Graph generative and adversarial strategy-enhanced node feature learning and self-calibrated pairwise attribute encoding for prediction of drug-related side effects.
    Xuan P; Xu K; Cui H; Nakaguchi T; Zhang T
    Front Pharmacol; 2023; 14():1257842. PubMed ID: 37731739
    [No Abstract]   [Full Text] [Related]  

  • 5. MSLTE: multiple self-supervised learning tasks for enhancing EEG emotion recognition.
    Li G; Chen N; Niu Y; Xu Z; Dong Y; Jin J; Zhu H
    J Neural Eng; 2024 Apr; 21(2):. PubMed ID: 38588700
    [No Abstract]   [Full Text] [Related]  

  • 6. SMG: self-supervised masked graph learning for cancer gene identification.
    Cui Y; Wang Z; Wang X; Zhang Y; Zhang Y; Pan T; Zhang Z; Li S; Guo Y; Akutsu T; Song J
    Brief Bioinform; 2023 Sep; 24(6):. PubMed ID: 37950905
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Graph Self-Supervised Learning With Application to Brain Networks Analysis.
    Wen G; Cao P; Liu L; Yang J; Zhang X; Wang F; Zaiane OR
    IEEE J Biomed Health Inform; 2023 Aug; 27(8):4154-4165. PubMed ID: 37159311
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Multi-graph Fusion Graph Convolutional Networks with pseudo-label supervision.
    Yang Y; Sun Y; Ju F; Wang S; Gao J; Yin B
    Neural Netw; 2023 Jan; 158():305-317. PubMed ID: 36493533
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Locality preserving dense graph convolutional networks with graph context-aware node representations.
    Liu W; Gong M; Tang Z; Qin AK; Sheng K; Xu M
    Neural Netw; 2021 Nov; 143():108-120. PubMed ID: 34116289
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Hierarchical Molecular Graph Self-Supervised Learning for property prediction.
    Zang X; Zhao X; Tang B
    Commun Chem; 2023 Feb; 6(1):34. PubMed ID: 36801953
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Local structure-aware graph contrastive representation learning.
    Yang K; Liu Y; Zhao Z; Ding P; Zhao W
    Neural Netw; 2024 Apr; 172():106083. PubMed ID: 38182463
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Redundancy-Free Self-Supervised Relational Learning for Graph Clustering.
    Yi S; Ju W; Qin Y; Luo X; Liu L; Zhou Y; Zhang M
    IEEE Trans Neural Netw Learn Syst; 2023 Sep; PP():. PubMed ID: 37756171
    [TBL] [Abstract][Full Text] [Related]  

  • 13. GMAEEG: A Self-Supervised Graph Masked Autoencoder for EEG Representation Learning.
    Fu Z; Zhu H; Zhao Y; Huan R; Zhang Y; Chen S; Pan Y
    IEEE J Biomed Health Inform; 2024 Aug; PP():. PubMed ID: 39146173
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Local augmented graph neural network for multi-omics cancer prognosis prediction and analysis.
    Zhang Y; Xiong S; Wang Z; Liu Y; Luo H; Li B; Zou Q
    Methods; 2023 May; 213():1-9. PubMed ID: 36933628
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Multilevel Contrastive Graph Masked Autoencoders for Unsupervised Graph-Structure Learning.
    Fu S; Peng Q; He Y; Wang X; Zou B; Xu D; Jing XY; You X
    IEEE Trans Neural Netw Learn Syst; 2024 Feb; PP():. PubMed ID: 38319760
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Adaptive self-supervised learning for sequential recommendation.
    Sun X; Sun F; Zhang Z; Li P; Wang S
    Neural Netw; 2024 Nov; 179():106570. PubMed ID: 39089151
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Fusion of multi-source relationships and topology to infer lncRNA-protein interactions.
    Zhang X; Liu M; Li Z; Zhuo L; Fu X; Zou Q
    Mol Ther Nucleic Acids; 2024 Jun; 35(2):102187. PubMed ID: 38706631
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Deep Unsupervised Learning of 3D Point Clouds via Graph Topology Inference and Filtering.
    Chen S; Duan C; Yang Y; Li D; Feng C; Tian D
    IEEE Trans Image Process; 2019 Dec; ():. PubMed ID: 31831423
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. Fragment-based deep molecular generation using hierarchical chemical graph representation and multi-resolution graph variational autoencoder.
    Gao Z; Wang X; Blumenfeld Gaines B; Shi X; Bi J; Song M
    Mol Inform; 2023 May; 42(5):e2200215. PubMed ID: 36764926
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 15.