| Graph neural networks: A review of methods and applications J Zhou, G Cui, S Hu, Z Zhang, C Yang, Z Liu, L Wang, C Li, M Sun AI open 1, 57-81, 2020 | 3522 | 2020 |
| Network representation learning with rich text information C Yang, Z Liu, D Zhao, M Sun, E Chang Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015 | 1163 | 2015 |
| Fast network embedding enhancement via high order proximity approximation. C Yang, M Sun, Z Liu, C Tu IJCAI, 3894-3900, 2017 | 164 | 2017 |
| GEAR: Graph-based Evidence Aggregating and Reasoning for Fact Verification J Zhou, X Han, C Yang, Z Liu, L Wang, C Li, M Sun arXiv preprint arXiv:1908.01843, 2019 | 156 | 2019 |
| A neural network approach to jointly modeling social networks and mobile trajectories C Yang, M Sun, WX Zhao, Z Liu, EY Chang ACM Transactions on Information Systems (TOIS) 35 (4), 1-28, 2017 | 150 | 2017 |
| Graph neural news recommendation with long-term and short-term interest modeling L Hu, C Li, C Shi, C Yang, C Shao Information Processing & Management 57 (2), 102142, 2020 | 127 | 2020 |
| Adaptive graph encoder for attributed graph embedding G Cui, J Zhou, C Yang, Z Liu Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020 | 120 | 2020 |
| Graph neural news recommendation with unsupervised preference disentanglement L Hu, S Xu, C Li, C Yang, C Shi, N Duan, X Xie, M Zhou Proceedings of the 58th annual meeting of the association for computational …, 2020 | 98 | 2020 |
| CED: credible early detection of social media rumors C Song, C Yang, H Chen, C Tu, Z Liu, M Sun IEEE Transactions on Knowledge and Data Engineering 33 (8), 3035-3047, 2019 | 89 | 2019 |
| Real-time topic-aware influence maximization using preprocessing W Chen, T Lin, C Yang Computational social networks 3 (1), 1-19, 2016 | 81 | 2016 |
| 网络表示学习综述 涂存超， 杨成， 刘知远， 孙茂松 科学通报 43, 1681, 2017 | 80* | 2017 |
| Multi-scale Information Diffusion Prediction with Reinforced Recurrent Networks. C Yang, J Tang, M Sun, G Cui, Z Liu IJCAI, 4033-4039, 2019 | 62 | 2019 |
| Extract the knowledge of graph neural networks and go beyond it: An effective knowledge distillation framework C Yang, J Liu, C Shi Proceedings of the web conference 2021, 1227-1237, 2021 | 56 | 2021 |
| Improving distantly-supervised relation extraction with joint label embedding L Hu, L Zhang, C Shi, L Nie, W Guan, C Yang Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 49 | 2019 |
| Neural diffusion model for microscopic cascade study C Yang, M Sun, H Liu, S Han, Z Liu, H Luan IEEE Transactions on Knowledge and Data Engineering 33 (3), 1128-1139, 2019 | 49* | 2019 |
| Stylistic chinese poetry generation via unsupervised style disentanglement C Yang, M Sun, X Yi, W Li Proceedings of the 2018 conference on empirical methods in natural language …, 2018 | 49 | 2018 |
| Be confident! towards trustworthy graph neural networks via confidence calibration X Wang, H Liu, C Shi, C Yang Advances in Neural Information Processing Systems 34, 23768-23779, 2021 | 43 | 2021 |
| Zero-shot cross-lingual neural headline generation S Shen, Y Chen, C Yang, Z Liu, M Sun IEEE/ACM Transactions on Audio, Speech, and Language Processing 26 (12 …, 2018 | 38 | 2018 |
| Comprehend deepwalk as matrix factorization C Yang, Z Liu arXiv preprint arXiv:1501.00358, 2015 | 38 | 2015 |
| Jiuge: A human-machine collaborative chinese classical poetry generation system G Zhipeng, X Yi, M Sun, W Li, C Yang, J Liang, H Chen, Y Zhang, R Li Proceedings of the 57th annual meeting of the association for computational …, 2019 | 33 | 2019 |
Maosong SunProfessor of Computer Science and Technology, Tsinghua UniversityVerified email at tsinghua.edu.cn
