Funder
State Grid Corporation Headquarters Science and Technology
Publisher
Springer Science and Business Media LLC
Reference42 articles.
1. Lu M, Xiao Z, Li H, Zhang Y, Xiong NN (2022) Feature pyramid-based graph convolutional neural network for graph classification. J Syst Archit 128:102562
2. Ghnn (2022) Graph harmonic neural networks for semi-supervised graph-level classification. Neural Netw 151:70–79
3. Tang R, Jiang S, Chen X, Wang W, Wang W (2022) Network structural perturbation against interlayer link prediction. Knowl-Based Syst 250:109095
4. Maurya SK, Liu X, Murata T (2022) Simplifying approach to node classification in graph neural networks. J Comput Sci 62:101695
5. Abu-El-Haija S, Kapoor A, Perozzi B, Lee J (2019) N-GCN: multi-scale graph convolution for semi-supervised node classification. In: Amir Globerson and Ricardo Silva, editors, Proceedings of the thirty-fifth conference on uncertainty in artificial intelligence, UAI 2019, Tel Aviv, Israel, July 22-25, 2019, vol 115 of Proceedings of machine learning research, pp 841–851. AUAI Press
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