| Representation Learning for Attributed Multiplex Heterogeneous Network Y Cen, X Zou, J Zhang, H Yang, J Zhou, J Tang Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019 | 314 | 2019 |
| Towards Knowledge-Based Recommender Dialog System Q Chen, J Lin, Y Zhang, M Ding, Y Cen, H Yang, J Tang Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 132 | 2019 |
| Controllable Multi-Interest Framework for Recommendation Y Cen, J Zhang, X Zou, C Zhou, H Yang, J Tang Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020 | 118 | 2020 |
| GraphMAE: Self-Supervised Masked Graph Autoencoders Z Hou, X Liu, Y Cen, Y Dong, H Yang, C Wang, J Tang Proceedings of the 28th ACM SIGKDD international conference on knowledge …, 2022 | 39 | 2022 |
| Cogdl: An extensive toolkit for deep learning on graphs Y Cen, Z Hou, Y Wang, Q Chen, Y Luo, X Yao, A Zeng, S Guo, P Zhang, ... arXiv preprint arXiv:2103.00959, 1-11, 2021 | 28 | 2021 |
| Trust relationship prediction in alibaba E-commerce platform Y Cen, J Zhang, G Wang, Y Qian, C Meng, Z Dai, H Yang, J Tang IEEE Transactions on Knowledge and Data Engineering 32 (5), 1024-1035, 2019 | 28 | 2019 |
| Wudaocorpora: A super large-scale chinese corpora for pre-training language models S Yuan, H Zhao, Z Du, M Ding, X Liu, Y Cen, X Zou, Z Yang, J Tang AI Open 2, 65-68, 2021 | 27* | 2021 |
| Graph robustness benchmark: Benchmarking the adversarial robustness of graph machine learning Q Zheng, X Zou, Y Dong, Y Cen, D Yin, J Xu, Y Yang, J Tang arXiv preprint arXiv:2111.04314, 2021 | 19 | 2021 |
| SCR: Training Graph Neural Networks with Consistency Regularization C Zhang, Y He, Y Cen, Z Hou, W Feng, Y Dong, X Cheng, H Cai, F He, ... arXiv e-prints, arXiv: 2112.04319, 2021 | 8* | 2021 |
| GACT: Activation compressed training for generic network architectures X Liu, L Zheng, D Wang, Y Cen, W Chen, X Han, J Chen, Z Liu, J Tang, ... International Conference on Machine Learning, 14139-14152, 2022 | 7* | 2022 |
| Mask and Reason: Pre-Training Knowledge Graph Transformers for Complex Logical Queries X Liu, S Zhao, K Su, Y Cen, J Qiu, M Zhang, W Wu, Y Dong, J Tang Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 5 | 2022 |
| Automated unsupervised graph representation learning Z Hou, Y Cen, Y Dong, J Zhang, J Tang IEEE Transactions on Knowledge and Data Engineering, 2021 | 4 | 2021 |
| Graph representation learning: foundations, methods, applications and systems W Jin, Y Ma, Y Wang, X Liu, J Tang, Y Cen, J Qiu, J Tang, C Shi, Y Ye, ... Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 1 | 2021 |
| Local Clustering Graph Neural Networks J Qiu, Y Cen, Q Chen, C Zhou, J Zhou, H Yang, J Tang | 1 | 2021 |
| Rethinking the setting of semi-supervised learning on graphs Z Li, M Ding, W Li, Z Wang, Z Zeng, Y Cen, J Tang arXiv preprint arXiv:2205.14403, 2022 | | 2022 |
| ProSampler: Improving Contrastive Learning by Better Mini-batch Sampling Z Yang, T Huang, M Ding, Z Ying, Y Cen, Y Geng, Y Dong, J Tang | | |
| MDGNN: METAPATH-BASED DECOUPLED GRAPH NEURAL NETWORK FOR MAG240M-LSC H Zhao, Y Cen, Y He, Z Hou, X Liu, X Cheng | | |
Tang JieProfessor, Tsinghua UniversityVerified email at tsinghua.edu.cn
