200 related articles for article (PubMed ID: 36790856)
21. Predicting miRNA-disease associations based on multi-view information fusion.
Xie X; Wang Y; Sheng N; Zhang S; Cao Y; Fu Y
Front Genet; 2022; 13():979815. PubMed ID: 36238163
[TBL] [Abstract][Full Text] [Related]
22. A novel candidate disease gene prioritization method using deep graph convolutional networks and semi-supervised learning.
Azadifar S; Ahmadi A
BMC Bioinformatics; 2022 Oct; 23(1):422. PubMed ID: 36241966
[TBL] [Abstract][Full Text] [Related]
23. An efficient model for predicting human diseases through miRNA based on multiple-types of contrastive learning.
Liao Q; Fu X; Zhuo L; Chen H
Front Microbiol; 2023; 14():1325001. PubMed ID: 38163075
[TBL] [Abstract][Full Text] [Related]
24. KAMPNet: multi-source medical knowledge augmented medication prediction network with multi-level graph contrastive learning.
An Y; Tang H; Jin B; Xu Y; Wei X
BMC Med Inform Decis Mak; 2023 Oct; 23(1):243. PubMed ID: 37904198
[TBL] [Abstract][Full Text] [Related]
25. A Good View for Graph Contrastive Learning.
Chen X; Li S
Entropy (Basel); 2024 Feb; 26(3):. PubMed ID: 38539720
[TBL] [Abstract][Full Text] [Related]
26. GraphCDR: a graph neural network method with contrastive learning for cancer drug response prediction.
Liu X; Song C; Huang F; Fu H; Xiao W; Zhang W
Brief Bioinform; 2022 Jan; 23(1):. PubMed ID: 34727569
[TBL] [Abstract][Full Text] [Related]
27. SGCLDGA: unveiling drug-gene associations through simple graph contrastive learning.
Fan Y; Zhang C; Hu X; Huang Z; Xue J; Deng L
Brief Bioinform; 2024 Mar; 25(3):. PubMed ID: 38754409
[TBL] [Abstract][Full Text] [Related]
28. Attention-wise masked graph contrastive learning for predicting molecular property.
Liu H; Huang Y; Liu X; Deng L
Brief Bioinform; 2022 Sep; 23(5):. PubMed ID: 35940592
[TBL] [Abstract][Full Text] [Related]
29. DiSMVC: a multi-view graph collaborative learning framework for measuring disease similarity.
Wei H; Gao L; Wu S; Jiang Y; Liu B
Bioinformatics; 2024 May; 40(5):. PubMed ID: 38715444
[TBL] [Abstract][Full Text] [Related]
30. Supervised graph co-contrastive learning for drug-target interaction prediction.
Li Y; Qiao G; Gao X; Wang G
Bioinformatics; 2022 May; 38(10):2847-2854. PubMed ID: 35561181
[TBL] [Abstract][Full Text] [Related]
31. Drug response prediction using graph representation learning and Laplacian feature selection.
Xie M; Lei X; Zhong J; Ouyang J; Li G
BMC Bioinformatics; 2022 Dec; 23(Suppl 8):532. PubMed ID: 36494630
[TBL] [Abstract][Full Text] [Related]
32. TCGL: Temporal Contrastive Graph for Self-Supervised Video Representation Learning.
Liu Y; Wang K; Liu L; Lan H; Lin L
IEEE Trans Image Process; 2022; 31():1978-1993. PubMed ID: 35157584
[TBL] [Abstract][Full Text] [Related]
33. A Visual Encoding Model Based on Contrastive Self-Supervised Learning for Human Brain Activity along the Ventral Visual Stream.
Li J; Zhang C; Wang L; Ding P; Hu L; Yan B; Tong L
Brain Sci; 2021 Jul; 11(8):. PubMed ID: 34439623
[TBL] [Abstract][Full Text] [Related]
34. CSGNN: Contamination Warning and Control of Food Quality via Contrastive Self-Supervised Learning-Based Graph Neural Network.
Yan J; Li H; Zuo E; Li T; Chen C; Chen C; Lv X
Foods; 2023 Mar; 12(5):. PubMed ID: 36900566
[TBL] [Abstract][Full Text] [Related]
35. Self-FI: Self-Supervised Learning for Disease Diagnosis in Fundus Images.
Nguyen TD; Le DT; Bum J; Kim S; Song SJ; Choo H
Bioengineering (Basel); 2023 Sep; 10(9):. PubMed ID: 37760191
[TBL] [Abstract][Full Text] [Related]
36. CoGO: a contrastive learning framework to predict disease similarity based on gene network and ontology structure.
Chen Y; Hu Y; Hu X; Feng C; Chen M
Bioinformatics; 2022 Sep; 38(18):4380-4386. PubMed ID: 35900147
[TBL] [Abstract][Full Text] [Related]
37. Neural inductive matrix completion with graph convolutional networks for miRNA-disease association prediction.
Li J; Zhang S; Liu T; Ning C; Zhang Z; Zhou W
Bioinformatics; 2020 Apr; 36(8):2538-2546. PubMed ID: 31904845
[TBL] [Abstract][Full Text] [Related]
38. Unsupervised Structure-Adaptive Graph Contrastive Learning.
Zhao H; Yang X; Deng C; Tao D
IEEE Trans Neural Netw Learn Syst; 2023 Jun; PP():. PubMed ID: 37276093
[TBL] [Abstract][Full Text] [Related]
39. GDCL-NcDA: identifying non-coding RNA-disease associations via contrastive learning between deep graph learning and deep matrix factorization.
Ai N; Liang Y; Yuan H; Ouyang D; Xie S; Liu X
BMC Genomics; 2023 Jul; 24(1):424. PubMed ID: 37501127
[TBL] [Abstract][Full Text] [Related]
40. Community-CL: An Enhanced Community Detection Algorithm Based on Contrastive Learning.
Huang Z; Xu W; Zhuo X
Entropy (Basel); 2023 May; 25(6):. PubMed ID: 37372208
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
