199 related articles for article (PubMed ID: 38232430)
1. 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]
2. 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]
3. Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation.
Chaitanya K; Erdil E; Karani N; Konukoglu E
Med Image Anal; 2023 Jul; 87():102792. PubMed ID: 37054649
[TBL] [Abstract][Full Text] [Related]
4. Deep semi-supervised learning via dynamic anchor graph embedding in latent space.
Tu E; Wang Z; Yang J; Kasabov N
Neural Netw; 2022 Feb; 146():350-360. PubMed ID: 34929418
[TBL] [Abstract][Full Text] [Related]
5. MoCL: Data-driven Molecular Fingerprint via Knowledge-aware Contrastive Learning from Molecular Graph.
Sun M; Xing J; Wang H; Chen B; Zhou J
KDD; 2021 Aug; 2021():3585-3594. PubMed ID: 35571558
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. A unified deep semi-supervised graph learning scheme based on nodes re-weighting and manifold regularization.
Dornaika F; Bi J; Zhang C
Neural Netw; 2023 Jan; 158():188-196. PubMed ID: 36462365
[TBL] [Abstract][Full Text] [Related]
8. Structure enhanced prototypical alignment for unsupervised cross-domain node classification.
Liu M; Zhang Z; Ma N; Gu M; Wang H; Zhou S; Bu J
Neural Netw; 2024 Sep; 177():106396. PubMed ID: 38805798
[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. MGLNN: Semi-supervised learning via Multiple Graph Cooperative Learning Neural Networks.
Jiang B; Chen S; Wang B; Luo B
Neural Netw; 2022 Sep; 153():204-214. PubMed ID: 35750007
[TBL] [Abstract][Full Text] [Related]
11. Graph Contrastive Learning With Adaptive Proximity-Based Graph Augmentation.
Zhuo W; Tan G
IEEE Trans Neural Netw Learn Syst; 2023 Jun; PP():. PubMed ID: 37276089
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Graph Transformer Networks: Learning meta-path graphs to improve GNNs.
Yun S; Jeong M; Yoo S; Lee S; Yi SS; Kim R; Kang J; Kim HJ
Neural Netw; 2022 Sep; 153():104-119. PubMed ID: 35716619
[TBL] [Abstract][Full Text] [Related]
14. sCL-ST: Supervised Contrastive Learning With Semantic Transformations for Multiple Lead ECG Arrhythmia Classification.
Le D; Truong S; Brijesh P; Adjeroh DA; Le N
IEEE J Biomed Health Inform; 2023 Jun; 27(6):2818-2828. PubMed ID: 37028019
[TBL] [Abstract][Full Text] [Related]
15. Graph Neural Network-Guided Contrastive Learning for Sequential Recommendation.
Yang XY; Xu F; Yu J; Li ZY; Wang DX
Sensors (Basel); 2023 Jun; 23(12):. PubMed ID: 37420737
[TBL] [Abstract][Full Text] [Related]
16. GHNN: Graph Harmonic Neural Networks for semi-supervised graph-level classification.
Ju W; Luo X; Ma Z; Yang J; Deng M; Zhang M
Neural Netw; 2022 Jul; 151():70-79. PubMed ID: 35398673
[TBL] [Abstract][Full Text] [Related]
17. A multi-scale self-supervised hypergraph contrastive learning framework for video question answering.
Wang Z; Wu B; Ota K; Dong M; Li H
Neural Netw; 2023 Nov; 168():272-286. PubMed ID: 37774513
[TBL] [Abstract][Full Text] [Related]
18. Domain-Adaptive Graph Attention-Supervised Network for Cross-Network Edge Classification.
Shen X; Shao M; Pan S; Yang LT; Zhou X
IEEE Trans Neural Netw Learn Syst; 2023 Sep; PP():. PubMed ID: 37695949
[TBL] [Abstract][Full Text] [Related]
19. Generalized heterophily graph data augmentation for node classification.
Tang B; Chen X; Wang S; Xuan Y; Zhao Z
Neural Netw; 2023 Nov; 168():339-349. PubMed ID: 37797396
[TBL] [Abstract][Full Text] [Related]
20. Semisupervised Graph Neural Networks for Graph Classification.
Xie Y; Liang Y; Gong M; Qin AK; Ong YS; He T
IEEE Trans Cybern; 2023 Oct; 53(10):6222-6235. PubMed ID: 35476555
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]