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 *

132 related articles for article (PubMed ID: 37018300)

  • 1. Hierarchical Graph Capsule Networks for Molecular Function Classification with Disentangled Representations.
    Zhang J; Lei Y; Wang Y; Zhou C; Sheng VS
    IEEE/ACM Trans Comput Biol Bioinform; 2023 Jan; PP():. PubMed ID: 37018300
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Learning Disentangled Graph Convolutional Networks Locally and Globally.
    Guo J; Huang K; Yi X; Zhang R
    IEEE Trans Neural Netw Learn Syst; 2024 Mar; 35(3):3640-3651. PubMed ID: 35969544
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. 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]  

  • 6. NCGNN: Node-Level Capsule Graph Neural Network for Semisupervised Classification.
    Yang R; Dai W; Li C; Zou J; Xiong H
    IEEE Trans Neural Netw Learn Syst; 2022 Jun; PP():. PubMed ID: 35679381
    [TBL] [Abstract][Full Text] [Related]  

  • 7. CommPOOL: An interpretable graph pooling framework for hierarchical graph representation learning.
    Tang H; Ma G; He L; Huang H; Zhan L
    Neural Netw; 2021 Nov; 143():669-677. PubMed ID: 34375808
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. KHGCN: Knowledge-Enhanced Recommendation with Hierarchical Graph Capsule Network.
    Chen F; Yin G; Dong Y; Li G; Zhang W
    Entropy (Basel); 2023 Apr; 25(4):. PubMed ID: 37190485
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Hierarchical graph representations in digital pathology.
    Pati P; Jaume G; Foncubierta-Rodríguez A; Feroce F; Anniciello AM; Scognamiglio G; Brancati N; Fiche M; Dubruc E; Riccio D; Di Bonito M; De Pietro G; Botti G; Thiran JP; Frucci M; Goksel O; Gabrani M
    Med Image Anal; 2022 Jan; 75():102264. PubMed ID: 34781160
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Hierarchical Pooling in Graph Neural Networks to Enhance Classification Performance in Large Datasets.
    Pham HV; Thanh DH; Moore P
    Sensors (Basel); 2021 Sep; 21(18):. PubMed ID: 34577277
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Permute Me Softly: Learning Soft Permutations for Graph Representations.
    Nikolentzos G; Dasoulas G; Vazirgiannis M
    IEEE Trans Pattern Anal Mach Intell; 2023 Apr; 45(4):5087-5098. PubMed ID: 35793300
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A Hierarchical Graph Neural Network Framework for Predicting Protein-Protein Interaction Modulators With Functional Group Information and Hypergraph Structure.
    Zhang Z; Zhao L; Wang J; Wang C
    IEEE J Biomed Health Inform; 2024 Jul; 28(7):4295-4305. PubMed ID: 38564358
    [TBL] [Abstract][Full Text] [Related]  

  • 14. muxGNN: Multiplex Graph Neural Network for Heterogeneous Graphs.
    Melton J; Krishnan S
    IEEE Trans Pattern Anal Mach Intell; 2023 Sep; 45(9):11067-11078. PubMed ID: 37030828
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Motif Graph Neural Network.
    Chen X; Cai R; Fang Y; Wu M; Li Z; Hao Z
    IEEE Trans Neural Netw Learn Syst; 2023 Jun; PP():. PubMed ID: 37335782
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Meta-structure-based graph attention networks.
    Li J; Sun Q; Zhang F; Yang B
    Neural Netw; 2024 Mar; 171():362-373. PubMed ID: 38134599
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Predicting cancer drug response using parallel heterogeneous graph convolutional networks with neighborhood interactions.
    Peng W; Liu H; Dai W; Yu N; Wang J
    Bioinformatics; 2022 Sep; 38(19):4546-4553. PubMed ID: 35997568
    [TBL] [Abstract][Full Text] [Related]  

  • 18. L-BGNN: Layerwise Trained Bipartite Graph Neural Networks.
    Xie T; He C; Ren X; Shahabi C; Kuo CJ
    IEEE Trans Neural Netw Learn Syst; 2023 Dec; 34(12):10711-10723. PubMed ID: 35544501
    [TBL] [Abstract][Full Text] [Related]  

  • 19. ExpGCN: Review-aware Graph Convolution Network for explainable recommendation.
    Wei T; Chow TWS; Ma J; Zhao M
    Neural Netw; 2023 Jan; 157():202-215. PubMed ID: 36343482
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 7.