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 *

124 related articles for article (PubMed ID: 35104214)

  • 1. Learning Representations by Graphical Mutual Information Estimation and Maximization.
    Peng Z; Luo M; Huang W; Li J; Zheng Q; Sun F; Huang J
    IEEE Trans Pattern Anal Mach Intell; 2023 Jan; 45(1):722-737. PubMed ID: 35104214
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Learning dynamic graph representations through timespan view contrasts.
    Xu Y; Peng Z; Shi B; Hua X; Dong B
    Neural Netw; 2024 Aug; 176():106384. PubMed ID: 38754286
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Multiagent Reinforcement Learning With Graphical Mutual Information Maximization.
    Ding S; Du W; Ding L; Zhang J; Guo L; An B
    IEEE Trans Neural Netw Learn Syst; 2023 Feb; PP():. PubMed ID: 37027777
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Multiview Deep Graph Infomax to Achieve Unsupervised Graph Embedding.
    Zhou Z; Hu Y; Zhang Y; Chen J; Cai H
    IEEE Trans Cybern; 2023 Oct; 53(10):6329-6339. PubMed ID: 35427229
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Graph Representation Learning and Its Applications: A Survey.
    Hoang VT; Jeon HJ; You ES; Yoon Y; Jung S; Lee OJ
    Sensors (Basel); 2023 Apr; 23(8):. PubMed ID: 37112507
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Continual representation learning for evolving biomedical bipartite networks.
    Jha K; Xun G; Zhang A
    Bioinformatics; 2021 Aug; 37(15):2190-2197. PubMed ID: 33532833
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Generating post-hoc explanations for Skip-gram-based node embeddings by identifying important nodes with bridgeness.
    Park H; Neville J
    Neural Netw; 2023 Jul; 164():546-561. PubMed ID: 37210973
    [TBL] [Abstract][Full Text] [Related]  

  • 8. TigeCMN: On exploration of temporal interaction graph embedding via Coupled Memory Neural Networks.
    Zhang Z; Bu J; Li Z; Yao C; Wang C; Wu J
    Neural Netw; 2021 Aug; 140():13-26. PubMed ID: 33743320
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Signed random walk diffusion for effective representation learning in signed graphs.
    Jung J; Yoo J; Kang U
    PLoS One; 2022; 17(3):e0265001. PubMed ID: 35298507
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Proximity-Based Compression for Network Embedding.
    Islam MI; Tanvir F; Johnson G; Akbas E; Aktas ME
    Front Big Data; 2020; 3():608043. PubMed ID: 33693427
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Unsupervised Embedding Learning for Large-Scale Heterogeneous Networks Based on Metapath Graph Sampling.
    Zhong H; Wang M; Zhang X
    Entropy (Basel); 2023 Feb; 25(2):. PubMed ID: 36832662
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Temporal network embedding framework with causal anonymous walks representations.
    Makarov I; Savchenko A; Korovko A; Sherstyuk L; Severin N; Kiselev D; Mikheev A; Babaev D
    PeerJ Comput Sci; 2022; 8():e858. PubMed ID: 35174275
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Second-Order Pooling for Graph Neural Networks.
    Wang Z; Ji S
    IEEE Trans Pattern Anal Mach Intell; 2023 Jun; 45(6):6870-6880. PubMed ID: 32750778
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Graph representation learning in bioinformatics: trends, methods and applications.
    Yi HC; You ZH; Huang DS; Kwoh CK
    Brief Bioinform; 2022 Jan; 23(1):. PubMed ID: 34471921
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Cross-Domain Graph Anomaly Detection.
    Ding K; Shu K; Shan X; Li J; Liu H
    IEEE Trans Neural Netw Learn Syst; 2022 Jun; 33(6):2406-2415. PubMed ID: 34596557
    [TBL] [Abstract][Full Text] [Related]  

  • 16. PINE: Universal Deep Embedding for Graph Nodes via Partial Permutation Invariant Set Functions.
    Gui S; Zhang X; Zhong P; Qiu S; Wu M; Ye J; Wang Z; Liu J
    IEEE Trans Pattern Anal Mach Intell; 2022 Feb; 44(2):770-782. PubMed ID: 33621166
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. Deep graph level anomaly detection with contrastive learning.
    Luo X; Wu J; Yang J; Xue S; Peng H; Zhou C; Chen H; Li Z; Sheng QZ
    Sci Rep; 2022 Nov; 12(1):19867. PubMed ID: 36400802
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Multi-Task Network Representation Learning.
    Xie Y; Jin P; Gong M; Zhang C; Yu B
    Front Neurosci; 2020; 14():1. PubMed ID: 32038151
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 7.