| A comprehensive survey on deep graph representation learning W Ju, Z Fang, Y Gu, Z Liu, Q Long, Z Qiao, Y Qin, J Shen, F Sun, Z Xiao, ... Neural Networks, 106207, 2024 | 58 | 2024 |
| Learning on graphs under label noise J Yuan, X Luo, Y Qin, Y Zhao, W Ju, M Zhang ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 17 | 2023 |
| Hope: High-order graph ode for modeling interacting dynamics X Luo, J Yuan, Z Huang, H Jiang, Y Qin, W Ju, M Zhang, Y Sun International Conference on Machine Learning, 23124-23139, 2023 | 15 | 2023 |
| Alex: Towards effective graph transfer learning with noisy labels J Yuan, X Luo, Y Qin, Z Mao, W Ju, M Zhang Proceedings of the 31st ACM international conference on multimedia, 3647-3656, 2023 | 10 | 2023 |
| COOL: A conjoint perspective on spatio-temporal graph neural network for traffic forecasting W Ju, Y Zhao, Y Qin, S Yi, J Yuan, Z Xiao, X Luo, X Yan, M Zhang Information Fusion, 102341, 2024 | 2 | 2024 |
| GALA: Graph Diffusion-based Alignment with Jigsaw for Source-free Domain Adaptation J Luo, Y Gu, X Luo, W Ju, Z Xiao, Y Zhao, J Yuan, M Zhang IEEE transactions on pattern analysis and machine intelligence, 0 | | |
Xiao LuoUCLA在 cs.ucla.edu 的电子邮件经过验证
Xiao LuoUCLA在 cs.ucla.edu 的电子邮件经过验证
Ming Zhang（张铭）Professor,Peking University在 pku.edu.cn 的电子邮件经过验证
Wei Ju（琚玮）Peking University在 pku.edu.cn 的电子邮件经过验证