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 *

130 related articles for article (PubMed ID: 38954894)

  • 1. Graph Aggregating-Repelling Network: Do Not Trust All Neighbors in Heterophilic Graphs.
    Wang Y; Wen J; Zhang C; Xiang S
    Neural Netw; 2024 Oct; 178():106484. PubMed ID: 38954894
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Exploiting Neighbor Effect: Conv-Agnostic GNN Framework for Graphs With Heterophily.
    Chen J; Chen S; Gao J; Huang Z; Zhang J; Pu J
    IEEE Trans Neural Netw Learn Syst; 2023 May; PP():. PubMed ID: 37195851
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Generalized heterophily graph data augmentation for node classification.
    Tang B; Chen X; Wang S; Xuan Y; Zhao Z
    Neural Netw; 2023 Nov; 168():339-349. PubMed ID: 37797396
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Beyond low-pass filtering on large-scale graphs via Adaptive Filtering Graph Neural Networks.
    Zhang Q; Li J; Sun Y; Wang S; Gao J; Yin B
    Neural Netw; 2024 Jan; 169():1-10. PubMed ID: 37852165
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. 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]  

  • 7. DPGCL: Dual pass filtering based graph contrastive learning.
    Huang R; Li P; Zhang K
    Neural Netw; 2024 Nov; 179():106517. PubMed ID: 39042950
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A simple and effective convolutional operator for node classification without features by graph convolutional networks.
    Jiao Q; Zhang H; Wu J; Wang N; Liu G; Liu Y
    PLoS One; 2024; 19(4):e0301476. PubMed ID: 38687815
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Beyond Homophily and Homogeneity Assumption: Relation-Based Frequency Adaptive Graph Neural Networks.
    Wu L; Lin H; Hu B; Tan C; Gao Z; Liu Z; Li SZ
    IEEE Trans Neural Netw Learn Syst; 2024 Jun; 35(6):8497-8509. PubMed ID: 37018566
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A novel interactive deep cascade spectral graph convolutional network with multi-relational graphs for disease prediction.
    Li S; Zhang R
    Neural Netw; 2024 Jul; 175():106285. PubMed ID: 38593556
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Probability graph complementation contrastive learning.
    Jiang W; Bai Y
    Neural Netw; 2024 Nov; 179():106522. PubMed ID: 39096752
    [TBL] [Abstract][Full Text] [Related]  

  • 12. SP-GNN: Learning structure and position information from graphs.
    Chen Y; You J; He J; Lin Y; Peng Y; Wu C; Zhu Y
    Neural Netw; 2023 Apr; 161():505-514. PubMed ID: 36805265
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. 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]  

  • 15. 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]  

  • 16. 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]  

  • 17. CurvAGN: Curvature-based Adaptive Graph Neural Networks for Predicting Protein-Ligand Binding Affinity.
    Wu J; Chen H; Cheng M; Xiong H
    BMC Bioinformatics; 2023 Oct; 24(1):378. PubMed ID: 37798653
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Weisfeiler-Lehman goes dynamic: An analysis of the expressive power of Graph Neural Networks for attributed and dynamic graphs.
    Beddar-Wiesing S; D'Inverno GA; Graziani C; Lachi V; Moallemy-Oureh A; Scarselli F; Thomas JM
    Neural Netw; 2024 May; 173():106213. PubMed ID: 38428377
    [TBL] [Abstract][Full Text] [Related]  

  • 19. k-hop graph neural networks.
    Nikolentzos G; Dasoulas G; Vazirgiannis M
    Neural Netw; 2020 Oct; 130():195-205. PubMed ID: 32682085
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Graph Regulation Network for Point Cloud Segmentation.
    Du Z; Liang J; Liang J; Yao K; Cao F
    IEEE Trans Pattern Anal Mach Intell; 2024 May; PP():. PubMed ID: 38739517
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.