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 *

237 related articles for article (PubMed ID: 35515082)

  • 1. Explainable graph neural networks for organic cages.
    Yuan Q; Szczypiński FT; Jelfs KE
    Digit Discov; 2022 Apr; 1(2):127-138. PubMed ID: 35515082
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Improved GNNs for Log 
    Duan YJ; Fu L; Zhang XC; Long TZ; He YH; Liu ZQ; Lu AP; Deng YF; Hsieh CY; Hou TJ; Cao DS
    J Chem Inf Model; 2023 Apr; 63(8):2345-2359. PubMed ID: 37000044
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Polymer-Unit Graph: Advancing Interpretability in Graph Neural Network Machine Learning for Organic Polymer Semiconductor Materials.
    Zhang X; Sheng Y; Liu X; Yang J; Goddard Iii WA; Ye C; Zhang W
    J Chem Theory Comput; 2024 Apr; 20(7):2908-2920. PubMed ID: 38551455
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. 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]  

  • 7. 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]  

  • 8. Graph Neural Tree: A novel and interpretable deep learning-based framework for accurate molecular property predictions.
    Zhan H; Zhu X; Qiao Z; Hu J
    Anal Chim Acta; 2023 Mar; 1244():340558. PubMed ID: 36737143
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. Quantitative evaluation of explainable graph neural networks for molecular property prediction.
    Rao J; Zheng S; Lu Y; Yang Y
    Patterns (N Y); 2022 Dec; 3(12):100628. PubMed ID: 36569553
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Identification of vital chemical information via visualization of graph neural networks.
    Wang Y; Huang M; Deng H; Li W; Wu Z; Tang Y; Liu G
    Brief Bioinform; 2023 Jan; 24(1):. PubMed ID: 36537081
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Generating Explanations for Conceptual Validation of Graph Neural Networks: An Investigation of Symbolic Predicates Learned on Relevance-Ranked Sub-Graphs.
    Finzel B; Saranti A; Angerschmid A; Tafler D; Pfeifer B; Holzinger A
    Kunstliche Intell (Oldenbourg); 2022; 36(3-4):271-285. PubMed ID: 36590103
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency Analysis.
    Besta M; Hoefler T
    IEEE Trans Pattern Anal Mach Intell; 2024 May; 46(5):2584-2606. PubMed ID: 38386570
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A Comprehensive Survey on Graph Neural Networks.
    Wu Z; Pan S; Chen F; Long G; Zhang C; Yu PS
    IEEE Trans Neural Netw Learn Syst; 2021 Jan; 32(1):4-24. PubMed ID: 32217482
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. 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]  

  • 18. FunQG: Molecular Representation Learning via Quotient Graphs.
    Hajiabolhassan H; Taheri Z; Hojatnia A; Yeganeh YT
    J Chem Inf Model; 2023 Jun; 63(11):3275-3287. PubMed ID: 37186874
    [TBL] [Abstract][Full Text] [Related]  

  • 19. GNNLens: A Visual Analytics Approach for Prediction Error Diagnosis of Graph Neural Networks.
    Jin Z; Wang Y; Wang Q; Ming Y; Ma T; Qu H
    IEEE Trans Vis Comput Graph; 2023 Jun; 29(6):3024-3038. PubMed ID: 35120004
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 12.