BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

123 related articles for article (PubMed ID: 35471869)

  • 1. Reinforced Causal Explainer for Graph Neural Networks.
    Wang X; Wu Y; Zhang A; Feng F; He X; Chua TS
    IEEE Trans Pattern Anal Mach Intell; 2023 Feb; 45(2):2297-2309. PubMed ID: 35471869
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Explanatory subgraph attacks against Graph Neural Networks.
    Wang H; Liu T; Sheng Z; Li H
    Neural Netw; 2024 Apr; 172():106097. PubMed ID: 38286098
    [TBL] [Abstract][Full Text] [Related]  

  • 3. CI-GNN: A Granger causality-inspired graph neural network for interpretable brain network-based psychiatric diagnosis.
    Zheng K; Yu S; Chen B
    Neural Netw; 2024 Apr; 172():106147. PubMed ID: 38306785
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Towards Inductive and Efficient Explanations for Graph Neural Networks.
    Luo D; Zhao T; Cheng W; Xu D; Han F; Yu W; Liu X; Chen H; Zhang X
    IEEE Trans Pattern Anal Mach Intell; 2024 Aug; 46(8):5245-5259. PubMed ID: 38319773
    [TBL] [Abstract][Full Text] [Related]  

  • 5. PAGE: Prototype-Based Model-Level Explanations for Graph Neural Networks.
    Shin YM; Kim SW; Shin WY
    IEEE Trans Pattern Anal Mach Intell; 2024 Mar; PP():. PubMed ID: 38502631
    [TBL] [Abstract][Full Text] [Related]  

  • 6. GNNExplainer: Generating Explanations for Graph Neural Networks.
    Ying R; Bourgeois D; You J; Zitnik M; Leskovec J
    Adv Neural Inf Process Syst; 2019 Dec; 32():9240-9251. PubMed ID: 32265580
    [TBL] [Abstract][Full Text] [Related]  

  • 7. SS-GNN: A Simple-Structured Graph Neural Network for Affinity Prediction.
    Zhang S; Jin Y; Liu T; Wang Q; Zhang Z; Zhao S; Shan B
    ACS Omega; 2023 Jun; 8(25):22496-22507. PubMed ID: 37396234
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. A Meta-Learning Approach for Training Explainable Graph Neural Networks.
    Spinelli I; Scardapane S; Uncini A
    IEEE Trans Neural Netw Learn Syst; 2024 Apr; 35(4):4647-4655. PubMed ID: 35544494
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Generalizing Graph Neural Networks on Out-of-Distribution Graphs.
    Fan S; Wang X; Shi C; Cui P; Wang B
    IEEE Trans Pattern Anal Mach Intell; 2024 Jan; 46(1):322-337. PubMed ID: 37782581
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Domain-Adaptive Graph Attention-Supervised Network for Cross-Network Edge Classification.
    Shen X; Shao M; Pan S; Yang LT; Zhou X
    IEEE Trans Neural Netw Learn Syst; 2023 Sep; PP():. PubMed ID: 37695949
    [TBL] [Abstract][Full Text] [Related]  

  • 12. EdgeSHAPer: Bond-centric Shapley value-based explanation method for graph neural networks.
    Mastropietro A; Pasculli G; Feldmann C; Rodríguez-Pérez R; Bajorath J
    iScience; 2022 Oct; 25(10):105043. PubMed ID: 36134335
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Reinforced GNNs for Multiple Instance Learning.
    Zhao X; Dai Q; Bai X; Wu J; Peng H; Peng H; Yu Z; Yu PS
    IEEE Trans Neural Netw Learn Syst; 2024 Apr; PP():. PubMed ID: 38687672
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Reverse Graph Learning for Graph Neural Network.
    Peng L; Hu R; Kong F; Gan J; Mo Y; Shi X; Zhu X
    IEEE Trans Neural Netw Learn Syst; 2024 Apr; 35(4):4530-4541. PubMed ID: 35380973
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. Evaluating explainability for graph neural networks.
    Agarwal C; Queen O; Lakkaraju H; Zitnik M
    Sci Data; 2023 Mar; 10(1):144. PubMed ID: 36934095
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Multiphysical graph neural network (MP-GNN) for COVID-19 drug design.
    Li XS; Liu X; Lu L; Hua XS; Chi Y; Xia K
    Brief Bioinform; 2022 Jul; 23(4):. PubMed ID: 35696650
    [TBL] [Abstract][Full Text] [Related]  

  • 18. SLAPP: Subgraph-level attention-based performance prediction for deep learning models.
    Wang Z; Yang P; Hu L; Zhang B; Lin C; Lv W; Wang Q
    Neural Netw; 2024 Feb; 170():285-297. PubMed ID: 38000312
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Higher-Order Explanations of Graph Neural Networks via Relevant Walks.
    Schnake T; Eberle O; Lederer J; Nakajima S; Schutt KT; Muller KR; Montavon G
    IEEE Trans Pattern Anal Mach Intell; 2022 Nov; 44(11):7581-7596. PubMed ID: 34559639
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 7.