234 related articles for article (PubMed ID: 38378479)
1. Fusing graph transformer with multi-aggregate GCN for enhanced drug-disease associations prediction.
He S; Yun L; Yi H
BMC Bioinformatics; 2024 Feb; 25(1):79. PubMed ID: 38378479
[TBL] [Abstract][Full Text] [Related]
2. Learning Multi-Types of Neighbor Node Attributes and Semantics by Heterogeneous Graph Transformer and Multi-View Attention for Drug-Related Side-Effect Prediction.
Xuan P; Li P; Cui H; Wang M; Nakaguchi T; Zhang T
Molecules; 2023 Sep; 28(18):. PubMed ID: 37764319
[TBL] [Abstract][Full Text] [Related]
3. Multi-modality attribute learning-based method for drug-protein interaction prediction based on deep neural network.
Dong W; Yang Q; Wang J; Xu L; Li X; Luo G; Gao X
Brief Bioinform; 2023 May; 24(3):. PubMed ID: 37114624
[TBL] [Abstract][Full Text] [Related]
4. GCNGAT: Drug-disease association prediction based on graph convolution neural network and graph attention network.
Yang R; Fu Y; Zhang Q; Zhang L
Artif Intell Med; 2024 Apr; 150():102805. PubMed ID: 38553169
[TBL] [Abstract][Full Text] [Related]
5. Prediction of drug-disease associations based on reinforcement symmetric metric learning and graph convolution network.
Luo H; Zhu C; Wang J; Zhang G; Luo J; Yan C
Front Pharmacol; 2024; 15():1337764. PubMed ID: 38384286
[TBL] [Abstract][Full Text] [Related]
6. Partner-Specific Drug Repositioning Approach Based on Graph Convolutional Network.
Sun X; Wang B; Zhang J; Li M
IEEE J Biomed Health Inform; 2022 Nov; 26(11):5757-5765. PubMed ID: 35921345
[TBL] [Abstract][Full Text] [Related]
7. Learning global dependencies and multi-semantics within heterogeneous graph for predicting disease-related lncRNAs.
Xuan P; Wang S; Cui H; Zhao Y; Zhang T; Wu P
Brief Bioinform; 2022 Sep; 23(5):. PubMed ID: 36088549
[TBL] [Abstract][Full Text] [Related]
8. An attentive joint model with transformer-based weighted graph convolutional network for extracting adverse drug event relation.
El-Allaly ED; Sarrouti M; En-Nahnahi N; Ouatik El Alaoui S
J Biomed Inform; 2022 Jan; 125():103968. PubMed ID: 34871807
[TBL] [Abstract][Full Text] [Related]
9. MAMF-GCN: Multi-scale adaptive multi-channel fusion deep graph convolutional network for predicting mental disorder.
Pan J; Lin H; Dong Y; Wang Y; Ji Y
Comput Biol Med; 2022 Sep; 148():105823. PubMed ID: 35872410
[TBL] [Abstract][Full Text] [Related]
10. Node-adaptive graph Transformer with structural encoding for accurate and robust lncRNA-disease association prediction.
Li G; Bai P; Liang C; Luo J
BMC Genomics; 2024 Jan; 25(1):73. PubMed ID: 38233788
[TBL] [Abstract][Full Text] [Related]
11. Graph generative and adversarial strategy-enhanced node feature learning and self-calibrated pairwise attribute encoding for prediction of drug-related side effects.
Xuan P; Xu K; Cui H; Nakaguchi T; Zhang T
Front Pharmacol; 2023; 14():1257842. PubMed ID: 37731739
[No Abstract] [Full Text] [Related]
12. Specific topology and topological connection sensitivity enhanced graph learning for lncRNA-disease association prediction.
Xuan P; Bai H; Cui H; Zhang X; Nakaguchi T; Zhang T
Comput Biol Med; 2023 Sep; 164():107265. PubMed ID: 37531860
[TBL] [Abstract][Full Text] [Related]
13. multi-type neighbors enhanced global topology and pairwise attribute learning for drug-protein interaction prediction.
Xuan P; Zhang X; Zhang Y; Hu K; Nakaguchi T; Zhang T
Brief Bioinform; 2022 Sep; 23(5):. PubMed ID: 35514190
[TBL] [Abstract][Full Text] [Related]
14. Identifying drug-target interactions via heterogeneous graph attention networks combined with cross-modal similarities.
Jiang L; Sun J; Wang Y; Ning Q; Luo N; Yin M
Brief Bioinform; 2022 Mar; 23(2):. PubMed ID: 35224614
[TBL] [Abstract][Full Text] [Related]
15. An effective multi-task learning framework for drug repurposing based on graph representation learning.
Ye S; Zhao W; Shen X; Jiang X; He T
Methods; 2023 Oct; 218():48-56. PubMed ID: 37516260
[TBL] [Abstract][Full Text] [Related]
16. Pre-training graph neural networks for link prediction in biomedical networks.
Long Y; Wu M; Liu Y; Fang Y; Kwoh CK; Chen J; Luo J; Li X
Bioinformatics; 2022 Apr; 38(8):2254-2262. PubMed ID: 35171981
[TBL] [Abstract][Full Text] [Related]
17. MPTN: A message-passing transformer network for drug repurposing from knowledge graph.
Liu Y; Sang G; Liu Z; Pan Y; Cheng J; Zhang Y
Comput Biol Med; 2024 Jan; 168():107800. PubMed ID: 38043469
[TBL] [Abstract][Full Text] [Related]
18. REDDA: Integrating multiple biological relations to heterogeneous graph neural network for drug-disease association prediction.
Gu Y; Zheng S; Yin Q; Jiang R; Li J
Comput Biol Med; 2022 Nov; 150():106127. PubMed ID: 36182762
[TBL] [Abstract][Full Text] [Related]
19. Multi-scale topology and position feature learning and relationship-aware graph reasoning for prediction of drug-related microbes.
Xuan P; Gu J; Cui H; Wang S; Toshiya N; Liu C; Zhang T
Bioinformatics; 2024 Feb; 40(2):. PubMed ID: 38269610
[TBL] [Abstract][Full Text] [Related]
20. SGGformer: Shifted Graph Convolutional Graph-Transformer for Traffic Prediction.
Pu S; Chu L; Hu J; Li S; Li J; Sun W
Sensors (Basel); 2022 Nov; 22(22):. PubMed ID: 36433621
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
