Self-supervised learning: Generative or contrastive X Liu, F Zhang, Z Hou, L Mian, Z Wang, J Zhang, J Tang IEEE transactions on knowledge and data engineering 35 (1), 857-876, 2021 | 1478 | 2021 |
GraphMAE: Self-Supervised Masked Graph Autoencoders Z Hou, X Liu, Y Cen, Y Dong, H Yang, C Wang, J Tang KDD 2022, 2022 | 284 | 2022 |
CogDL: A toolkit for deep learning on graphs Y Cen, Z Hou, Y Wang, Q Chen, Y Luo, Z Yu, H Zhang, X Yao, A Zeng, ... arXiv preprint arXiv:2103.00959, 2021 | 46* | 2021 |
GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner Z Hou, Y He, Y Cen, X Liu, Y Dong, E Kharlamov, J Tang WWW 2023, 2023 | 35 | 2023 |
Understanding WeChat user preferences and “Wow” diffusion F Zhang, J Tang, X Liu, Z Hou, Y Dong, J Zhang, X Liu, R Xie, K Zhuang, ... IEEE Transactions on Knowledge and Data Engineering 34 (12), 6033-6046, 2021 | 16 | 2021 |
Improving the training of graph neural networks with consistency regularization C Zhang, Y He, Y Cen, Z Hou, J Tang arXiv preprint arXiv:2112.04319, 2021 | 11 | 2021 |
Automated unsupervised graph representation learning Z Hou, Y Cen, Y Dong, J Zhang, J Tang IEEE Transactions on Knowledge and Data Engineering 35 (3), 2285-2298, 2021 | 10 | 2021 |
MTDiag: an effective multi-task framework for automatic diagnosis Z Hou, Y Cen, Z Liu, D Wu, B Wang, X Li, L Hong, J Tang Proceedings of the AAAI Conference on Artificial Intelligence 37 (12), 14241 …, 2023 | 2 | 2023 |
ChatGLM-Math: Improving Math Problem-Solving in Large Language Models with a Self-Critique Pipeline Y Xu, X Liu, X Liu, Z Hou, Y Li, X Zhang, Z Wang, A Zeng, Z Du, W Zhao, ... arXiv preprint arXiv:2404.02893, 2024 | | 2024 |
ChatGLM-RLHF: Practices of Aligning Large Language Models with Human Feedback Z Hou, Y Niu, Z Du, X Zhang, X Liu, A Zeng, Q Zheng, M Huang, H Wang, ... arXiv preprint arXiv:2404.00934, 2024 | | 2024 |
MDGNN: METAPATH-BASED DECOUPLED GRAPH NEURAL NETWORK FOR MAG240M-LSC H Zhao, Y Cen, Y He, Z Hou, X Liu, X Cheng | | |