256 related articles for article (PubMed ID: 37185784)
1. A multi-view contrastive learning for heterogeneous network embedding.
Li Q; Chen W; Fang Z; Ying C; Wang C
Sci Rep; 2023 Apr; 13(1):6732. PubMed ID: 37185784
[TBL] [Abstract][Full Text] [Related]
2. Bitcoin Money Laundering Detection via Subgraph Contrastive Learning.
Ouyang S; Bai Q; Feng H; Hu B
Entropy (Basel); 2024 Feb; 26(3):. PubMed ID: 38539723
[TBL] [Abstract][Full Text] [Related]
3. Local structure-aware graph contrastive representation learning.
Yang K; Liu Y; Zhao Z; Ding P; Zhao W
Neural Netw; 2024 Apr; 172():106083. PubMed ID: 38182463
[TBL] [Abstract][Full Text] [Related]
4. Select Your Own Counterparts: Self-Supervised Graph Contrastive Learning With Positive Sampling.
Wang Z; Yu D; Shen S; Zhang S; Liu H; Yao S; Guo M
IEEE Trans Neural Netw Learn Syst; 2024 Apr; PP():. PubMed ID: 38652626
[TBL] [Abstract][Full Text] [Related]
5. Unsupervised Embedding Learning for Large-Scale Heterogeneous Networks Based on Metapath Graph Sampling.
Zhong H; Wang M; Zhang X
Entropy (Basel); 2023 Feb; 25(2):. PubMed ID: 36832662
[TBL] [Abstract][Full Text] [Related]
6. CLEAR: Cluster-Enhanced Contrast for Self-Supervised Graph Representation Learning.
Luo X; Ju W; Qu M; Gu Y; Chen C; Deng M; Hua XS; Zhang M
IEEE Trans Neural Netw Learn Syst; 2022 Jun; PP():. PubMed ID: 35675236
[TBL] [Abstract][Full Text] [Related]
7. Hierarchically Contrastive Hard Sample Mining for Graph Self-Supervised Pretraining.
Tu W; Zhou S; Liu X; Ge C; Cai Z; Liu Y
IEEE Trans Neural Netw Learn Syst; 2023 Aug; PP():. PubMed ID: 37590106
[TBL] [Abstract][Full Text] [Related]
8. Accurate graph classification via two-staged contrastive curriculum learning.
Shim S; Kim J; Park K; Kang U
PLoS One; 2024; 19(1):e0296171. PubMed ID: 38170711
[TBL] [Abstract][Full Text] [Related]
9. Self-supervised contrastive graph representation with node and graph augmentation.
Duan H; Xie C; Li B; Tang P
Neural Netw; 2023 Oct; 167():223-232. PubMed ID: 37660671
[TBL] [Abstract][Full Text] [Related]
10. Contrastive learning of graphs under label noise.
Li X; Li Q; Li D; Qian H; Wang J
Neural Netw; 2024 Apr; 172():106113. PubMed ID: 38232430
[TBL] [Abstract][Full Text] [Related]
11. Multi-view contrastive heterogeneous graph attention network for lncRNA-disease association prediction.
Zhao X; Wu J; Zhao X; Yin M
Brief Bioinform; 2023 Jan; 24(1):. PubMed ID: 36528809
[TBL] [Abstract][Full Text] [Related]
12. Dual Contrastive Learning Network for Graph Clustering.
Peng X; Cheng J; Tang X; Liu J; Wu J
IEEE Trans Neural Netw Learn Syst; 2023 Apr; PP():. PubMed ID: 37027267
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. MECCH: Metapath Context Convolution-based Heterogeneous Graph Neural Networks.
Fu X; King I
Neural Netw; 2024 Feb; 170():266-275. PubMed ID: 38000310
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. 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]
17. Meta-HGT: Metapath-aware HyperGraph Transformer for heterogeneous information network embedding.
Liu J; Song L; Wang G; Shang X
Neural Netw; 2023 Jan; 157():65-76. PubMed ID: 36334540
[TBL] [Abstract][Full Text] [Related]
18. Multiview Deep Graph Infomax to Achieve Unsupervised Graph Embedding.
Zhou Z; Hu Y; Zhang Y; Chen J; Cai H
IEEE Trans Cybern; 2023 Oct; 53(10):6329-6339. PubMed ID: 35427229
[TBL] [Abstract][Full Text] [Related]
19. Graph contrastive learning with implicit augmentations.
Liang H; Du X; Zhu B; Ma Z; Chen K; Gao J
Neural Netw; 2023 Jun; 163():156-164. PubMed ID: 37054514
[TBL] [Abstract][Full Text] [Related]
20. Multi-Granularity Anchor-Contrastive Representation Learning for Semi-Supervised Skeleton-Based Action Recognition.
Shu X; Xu B; Zhang L; Tang J
IEEE Trans Pattern Anal Mach Intell; 2023 Jun; 45(6):7559-7576. PubMed ID: 36395133
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
