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 *

328 related articles for article (PubMed ID: 35927691)

  • 1. Integrating concept of pharmacophore with graph neural networks for chemical property prediction and interpretation.
    Kong Y; Zhao X; Liu R; Yang Z; Yin H; Zhao B; Wang J; Qin B; Yan A
    J Cheminform; 2022 Aug; 14(1):52. PubMed ID: 35927691
    [TBL] [Abstract][Full Text] [Related]  

  • 2. ABT-MPNN: an atom-bond transformer-based message-passing neural network for molecular property prediction.
    Liu C; Sun Y; Davis R; Cardona ST; Hu P
    J Cheminform; 2023 Feb; 15(1):29. PubMed ID: 36843022
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. ReaxFF-MPNN machine learning potential: a combination of reactive force field and message passing neural networks.
    Xue LY; Guo F; Wen YS; Feng SQ; Huang XN; Guo L; Li HS; Cui SX; Zhang GQ; Wang QL
    Phys Chem Chem Phys; 2021 Sep; 23(35):19457-19464. PubMed ID: 34524283
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Knowledge-Embedded Message-Passing Neural Networks: Improving Molecular Property Prediction with Human Knowledge.
    Hasebe T
    ACS Omega; 2021 Oct; 6(42):27955-27967. PubMed ID: 34722995
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Multi-level attention pooling for graph neural networks: Unifying graph representations with multiple localities.
    Itoh TD; Kubo T; Ikeda K
    Neural Netw; 2022 Jan; 145():356-373. PubMed ID: 34808587
    [TBL] [Abstract][Full Text] [Related]  

  • 7. SLI-GNN: A Self-Learning-Input Graph Neural Network for Predicting Crystal and Molecular Properties.
    Dong Z; Feng J; Ji Y; Li Y
    J Phys Chem A; 2023 Jul; 127(28):5921-5929. PubMed ID: 37418164
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Improved Lipophilicity and Aqueous Solubility Prediction with Composite Graph Neural Networks.
    Wieder O; Kuenemann M; Wieder M; Seidel T; Meyer C; Bryant SD; Langer T
    Molecules; 2021 Oct; 26(20):. PubMed ID: 34684766
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Could graph neural networks learn better molecular representation for drug discovery? A comparison study of descriptor-based and graph-based models.
    Jiang D; Wu Z; Hsieh CY; Chen G; Liao B; Wang Z; Shen C; Cao D; Wu J; Hou T
    J Cheminform; 2021 Feb; 13(1):12. PubMed ID: 33597034
    [TBL] [Abstract][Full Text] [Related]  

  • 10. CCP-GNN: Competitive Covariance Pooling for Improving Graph Neural Networks.
    Zhu P; Li J; Dong Z; Hu Q; Wang X; Wang Q
    IEEE Trans Neural Netw Learn Syst; 2024 Apr; PP():. PubMed ID: 38683705
    [TBL] [Abstract][Full Text] [Related]  

  • 11. HiGNN: A Hierarchical Informative Graph Neural Network for Molecular Property Prediction Equipped with Feature-Wise Attention.
    Zhu W; Zhang Y; Zhao D; Xu J; Wang L
    J Chem Inf Model; 2023 Jan; 63(1):43-55. PubMed ID: 36519623
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Cross-dependent graph neural networks for molecular property prediction.
    Ma H; Bian Y; Rong Y; Huang W; Xu T; Xie W; Ye G; Huang J
    Bioinformatics; 2022 Mar; 38(7):2003-2009. PubMed ID: 35094072
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Scalable deeper graph neural networks for high-performance materials property prediction.
    Omee SS; Louis SY; Fu N; Wei L; Dey S; Dong R; Li Q; Hu J
    Patterns (N Y); 2022 May; 3(5):100491. PubMed ID: 35607621
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Scalable graph neural network for NMR chemical shift prediction.
    Han J; Kang H; Kang S; Kwon Y; Lee D; Choi YS
    Phys Chem Chem Phys; 2022 Nov; 24(43):26870-26878. PubMed ID: 36317530
    [TBL] [Abstract][Full Text] [Related]  

  • 15. PSA-GNN: An augmented GNN framework with priori subgraph knowledge.
    Xue G; Zhong M; Qian T; Li J
    Neural Netw; 2024 May; 173():106155. PubMed ID: 38335793
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Deep reinforcement learning guided graph neural networks for brain network analysis.
    Zhao X; Wu J; Peng H; Beheshti A; Monaghan JJM; McAlpine D; Hernandez-Perez H; Dras M; Dai Q; Li Y; Yu PS; He L
    Neural Netw; 2022 Oct; 154():56-67. PubMed ID: 35853320
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Application of message passing neural networks for molecular property prediction.
    Tang M; Li B; Chen H
    Curr Opin Struct Biol; 2023 Aug; 81():102616. PubMed ID: 37267824
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Understanding the message passing in graph neural networks via power iteration clustering.
    Li X; Cheng Y
    Neural Netw; 2021 Aug; 140():130-135. PubMed ID: 33765528
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Hyper-Mol: Molecular Representation Learning via Fingerprint-Based Hypergraph.
    Cui S; Li Q; Li D; Lian Z; Hou J
    Comput Intell Neurosci; 2023; 2023():3756102. PubMed ID: 36776618
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Graph Multihead Attention Pooling with Self-Supervised Learning.
    Wang Y; Hu L; Wu Y; Gao W
    Entropy (Basel); 2022 Nov; 24(12):. PubMed ID: 36554149
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 17.