199 related articles for article (PubMed ID: 37742052)
1. HTCL-DDI: a hierarchical triple-view contrastive learning framework for drug-drug interaction prediction.
Zhang R; Wang X; Wang P; Meng Z; Cui W; Zhou Y
Brief Bioinform; 2023 Sep; 24(6):. PubMed ID: 37742052
[TBL] [Abstract][Full Text] [Related]
2. MPHGCL-DDI: Meta-Path-Based Heterogeneous Graph Contrastive Learning for Drug-Drug Interaction Prediction.
Hu B; Yu Z; Li M
Molecules; 2024 May; 29(11):. PubMed ID: 38893359
[TBL] [Abstract][Full Text] [Related]
3. DSN-DDI: an accurate and generalized framework for drug-drug interaction prediction by dual-view representation learning.
Li Z; Zhu S; Shao B; Zeng X; Wang T; Liu TY
Brief Bioinform; 2023 Jan; 24(1):. PubMed ID: 36592061
[TBL] [Abstract][Full Text] [Related]
4. Learning self-supervised molecular representations for drug-drug interaction prediction.
Kpanou R; Dallaire P; Rousseau E; Corbeil J
BMC Bioinformatics; 2024 Jan; 25(1):47. PubMed ID: 38291362
[TBL] [Abstract][Full Text] [Related]
5. PEB-DDI: A Task-Specific Dual-View Substructural Learning Framework for Drug-Drug Interaction Prediction.
Shen X; Li Z; Liu Y; Song B; Zeng X
IEEE J Biomed Health Inform; 2024 Jan; 28(1):569-579. PubMed ID: 37991904
[TBL] [Abstract][Full Text] [Related]
6. Deep graph contrastive learning model for drug-drug interaction prediction.
Jiang Z; Gong Z; Dai X; Zhang H; Ding P; Shen C
PLoS One; 2024; 19(6):e0304798. PubMed ID: 38885206
[TBL] [Abstract][Full Text] [Related]
7. GCN-BMP: Investigating graph representation learning for DDI prediction task.
Chen X; Liu X; Wu J
Methods; 2020 Jul; 179():47-54. PubMed ID: 32622985
[TBL] [Abstract][Full Text] [Related]
8. Predicting drug-drug interactions using multi-modal deep auto-encoders based network embedding and positive-unlabeled learning.
Zhang Y; Qiu Y; Cui Y; Liu S; Zhang W
Methods; 2020 Jul; 179():37-46. PubMed ID: 32497603
[TBL] [Abstract][Full Text] [Related]
9. Unsupervised graph-level representation learning with hierarchical contrasts.
Ju W; Gu Y; Luo X; Wang Y; Yuan H; Zhong H; Zhang M
Neural Netw; 2023 Jan; 158():359-368. PubMed ID: 36516542
[TBL] [Abstract][Full Text] [Related]
10. SSF-DDI: a deep learning method utilizing drug sequence and substructure features for drug-drug interaction prediction.
Zhu J; Che C; Jiang H; Xu J; Yin J; Zhong Z
BMC Bioinformatics; 2024 Jan; 25(1):39. PubMed ID: 38262923
[TBL] [Abstract][Full Text] [Related]
11. Prediction of multiple types of drug interactions based on multi-scale fusion and dual-view fusion.
Pan D; Lu P; Wu Y; Kang L; Huang F; Lin K; Yang F
Front Pharmacol; 2024; 15():1354540. PubMed ID: 38434701
[TBL] [Abstract][Full Text] [Related]
12. Prediction of Drug-Drug Interaction Using an Attention-Based Graph Neural Network on Drug Molecular Graphs.
Feng YH; Zhang SW
Molecules; 2022 May; 27(9):. PubMed ID: 35566354
[TBL] [Abstract][Full Text] [Related]
13. A social theory-enhanced graph representation learning framework for multitask prediction of drug-drug interactions.
Feng YH; Zhang SW; Feng YY; Zhang QQ; Shi MH; Shi JY
Brief Bioinform; 2023 Jan; 24(1):. PubMed ID: 36642408
[TBL] [Abstract][Full Text] [Related]
14. SSI-DDI: substructure-substructure interactions for drug-drug interaction prediction.
Nyamabo AK; Yu H; Shi JY
Brief Bioinform; 2021 Nov; 22(6):. PubMed ID: 33951725
[TBL] [Abstract][Full Text] [Related]
15. BDN-DDI: A bilinear dual-view representation learning framework for drug-drug interaction prediction.
Ning G; Sun Y; Ling J; Chen J; He J
Comput Biol Med; 2023 Oct; 165():107340. PubMed ID: 37603959
[TBL] [Abstract][Full Text] [Related]
16. Composite attention mechanism network for deep contrastive multi-view clustering.
Du T; Zheng W; Xu X
Neural Netw; 2024 Aug; 176():106361. PubMed ID: 38723307
[TBL] [Abstract][Full Text] [Related]
17. MM-GANN-DDI: Multimodal Graph-Agnostic Neural Networks for Predicting Drug-Drug Interaction Events.
Feng J; Liang Y; Yu T
Comput Biol Med; 2023 Nov; 166():107492. PubMed ID: 37820558
[TBL] [Abstract][Full Text] [Related]
18. Molecular property prediction by semantic-invariant contrastive learning.
Zhang Z; Xie A; Guan J; Zhou S
Bioinformatics; 2023 Aug; 39(8):. PubMed ID: 37505457
[TBL] [Abstract][Full Text] [Related]
19. Multi-view feature representation and fusion for drug-drug interactions prediction.
Wang J; Zhang S; Li R; Chen G; Yan S; Ma L
BMC Bioinformatics; 2023 Mar; 24(1):93. PubMed ID: 36918766
[TBL] [Abstract][Full Text] [Related]
20. Learning size-adaptive molecular substructures for explainable drug-drug interaction prediction by substructure-aware graph neural network.
Yang Z; Zhong W; Lv Q; Yu-Chian Chen C
Chem Sci; 2022 Jul; 13(29):8693-8703. PubMed ID: 35974769
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
