| Graph inference learning for semi-supervised classification C Xu, Z Cui, X Hong, T Zhang, J Yang, W Liu arXiv preprint arXiv:2001.06137, 2020 | 33 | 2020 |
| Variational gridded graph convolution network for node classification X Hong, T Zhang, Z Cui, J Yang IEEE/CAA Journal of Automatica Sinica 8 (10), 1697-1708, 2021 | 16 | 2021 |
| Knowledge distillation-driven semi-supervised multi-view classification X Wang, Y Wang, G Ke, Y Wang, X Hong Information Fusion 103, 102098, 2024 | 4 | 2024 |
| Graph game embedding X Hong, T Zhang, Z Cui, Y Huang, P Shen, S Li, J Yang Proceedings of the AAAI Conference on Artificial Intelligence 35 (9), 7711-7720, 2021 | 4 | 2021 |
| Graph wasserstein correlation analysis for movie retrieval X Zhang, T Zhang, X Hong, Z Cui, J Yang Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 3 | 2020 |
| Fast Hyper-walk Gridded Convolution on Graph X Hong, T Zhang, Z Cui, C Xu, L Zhang, J Yang Pattern Recognition and Computer Vision: Third Chinese Conference, PRCV 2020 …, 2020 | 1 | 2020 |
| Label Attentive Distillation for GNN-Based Graph Classification X Hong, W Li, C Wang, M Lin, S Lu Proceedings of the AAAI Conference on Artificial Intelligence 38 (8), 8499-8507, 2024 | | 2024 |
