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Fenyu Hu
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Hierarchical graph convolutional networks for semi-supervised node classification
F Hu, Y Zhu, S Wu, L Wang, T Tan
Proceedings of the Twenty-Eighth International Joint Conference on …, 0
158*
Graphair: Graph representation learning with neighborhood aggregation and interaction
F Hu, Y Zhu, S Wu, W Huang, L Wang, T Tan
Pattern Recognition 112, 107745, 2021
422021
Fully hyperbolic graph convolution network for recommendation
L Wang, F Hu, S Wu, L Wang
Proceedings of the 30th ACM International Conference on Information …, 2021
182021
GraphDIVE: Graph Classification by Mixture of Diverse Experts.
F Hu, L Wang, Q Liu, S Wu, L Wang, T Tan
IJCAI, 2080-2086, 2022
15*2022
Semi-supervised node classification via hierarchical graph convolutional networks
F Hu, Y Zhu, S Wu, L Wang, T Tan
arXiv preprint arXiv:1902.06667, 2019
72019
Label-informed graph structure learning for node classification
L Wang, F Hu, S Wu, L Wang
Proceedings of the 30th ACM International Conference on Information …, 2021
12021
Second-Order Global Attention Networks for Graph Classification and Regression
F Hu, Z Cui, S Wu, Q Liu, J Wu, L Wang, T Tan
CAAI International Conference on Artificial Intelligence, 496-507, 2022
2022
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