E-GCN: graph convolution with estimated labels
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-020-02093-5.pdf
Reference27 articles.
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3. Kipf TN, Welling M (2017) Semi-supervised classification with graph convolutional networks. arXiv:1609.02907
4. Ying R, He R, Chen K, et al. (2018) Graph convolutional neural networks for web-scale recommender systems. In: Proceedings of the 24th ACM SIGKDD international conference on knowledge discovery & data mining, pp 974–983
5. Zhang C, Li T, Ren Z, et al. (2019) Taxonomy-aware collaborative denoising autoencoder for personalized recommendation. Applied Intelligence 49(6):2101–2118
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