| Simple Unsupervised Graph Representation Learning Y Mo, L Peng, J Xu, X Shi, X Zhu Proceedings of the AAAI Conference on Artificial Intelligence, 2022 | 92 | 2022 |
| Reverse graph learning for graph neural network L Peng, R Hu, F Kong, J Gan, Y Mo, X Shi, X Zhu IEEE Transactions on Neural Networks and Learning Systems, 2022 | 56 | 2022 |
| Deep incomplete multi-view clustering via mining cluster complementarity J Xu, C Li, Y Ren, L Peng, Y Mo, X Shi, X Zhu Proceedings of the AAAI conference on artificial intelligence 36 (8), 8761-8769, 2022 | 51 | 2022 |
| Multigraph fusion for dynamic graph convolutional network J Gan, R Hu, Y Mo, Z Kang, L Peng, Y Zhu, X Zhu IEEE Transactions on Neural Networks and Learning Systems, 2022 | 48 | 2022 |
| GRLC: Graph representation learning with constraints L Peng, Y Mo, J Xu, J Shen, X Shi, X Li, HT Shen, X Zhu IEEE transactions on neural networks and learning systems, 2023 | 32 | 2023 |
| Multiplex Graph Representation Learning via Dual Correlation Reduction Y Mo, Y Chen, Y Lei, L Peng, X Shi, C Yuan, X Zhu IEEE Transactions on Knowledge and Data Engineering, 2023 | 29 | 2023 |
| Dementia analysis from functional connectivity network with graph neural networks L Wang, W Yuan, L Zeng, J Xu, Y Mo, X Zhao, L Peng Information Processing & Management 59 (3), 102901, 2022 | 12 | 2022 |
| Disentangled Multiplex Graph Representation Learning Y Mo, Y Lei, J Shen, X Shi, HT Shen, X Zhu Proceedings of the 40st International Conference on Machine Learning, 2023 | 9 | 2023 |
| Simple Self-supervised Multiplex Graph Representation Learning Y Mo, Y Chen, L Peng, X Shi, X Zhu Proceedings of the 30th ACM International Conference on Multimedia, 3301-3309, 2022 | 2 | 2022 |
| Multiplex Graph Representation Learning via Common and Private Information Mining Y Mo, Z Wu, Y Chen, X Shi, HT Shen, X Zhu Proceedings of the AAAI Conference on Artificial Intelligence 37 (8), 9217-9225, 2023 | 1 | 2023 |
| Efficient Self-Supervised Heterogeneous Graph Representation Learning with Reconstruction Yujie Mo, Heng Tao Shen, Xiaofeng Zhu Under Review, 2024 | | 2024 |
| Self-Training Based Few-Shot Node Classification by Knowledge Distillation Z Wu, Y Mo, P Zhou, S Yuan, X Zhu Proceedings of the AAAI Conference on Artificial Intelligence 38 (14), 15988 …, 2024 | | 2024 |
| Self-Supervised Heterogeneous Graph Learning: a Homophily and Heterogeneity View Y Mo, F Nie, Z Zhang, P Hu, HT Shen, X Wang, X Zhu The Twelfth International Conference on Learning Representations, 2024 | | 2024 |
Xiaofeng ZHUUniversity of Electronic Science and Technology of China (电子科技大学)在 massey.ac.nz 的电子邮件经过验证
