| 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 | 6471 | 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 | 1351 | 2015 |
| Communicative agents for software development C Qian, X Cong, C Yang, W Chen, Y Su, J Xu, Z Liu, M Sun arXiv preprint arXiv:2307.07924 6, 2023 | 375* | 2023 |
| 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 | 232 | 2020 |
| 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 | 226 | 2019 |
| 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 | 206 | 2020 |
| Agentverse: Facilitating multi-agent collaboration and exploring emergent behaviors W Chen, Y Su, J Zuo, C Yang, C Yuan, CM Chan, H Yu, Y Lu, YH Hung, ... The Twelfth International Conference on Learning Representations, 2023 | 194* | 2023 |
| 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 | 189 | 2017 |
| Fast network embedding enhancement via high order proximity approximation. C Yang, M Sun, Z Liu, C Tu IJCAI 17, 3894-3900, 2017 | 181 | 2017 |
| 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 | 143 | 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 | 143 | 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 | 136 | 2021 |
| Full-Scale Information Diffusion Prediction With Reinforced Recurrent Networks C Yang, H Wang, J Tang, C Shi, M Sun, G Cui, Z Liu IEEE Transactions on Neural Networks and Learning Systems, 2021 | 129 | 2021 |
| 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 | 118 | 2021 |
| 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 | 93* | 2017 |
| Real-time topic-aware influence maximization using preprocessing W Chen, T Lin, C Yang Computational social networks 3, 1-19, 2016 | 91 | 2016 |
| 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 | 85* | 2019 |
| Towards graph foundation models: A survey and beyond J Liu, C Yang, Z Lu, J Chen, Y Li, M Zhang, T Bai, Y Fang, L Sun, PS Yu, ... arXiv preprint arXiv:2310.11829, 2023 | 67 | 2023 |
| 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 | 64 | 2019 |
| 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 | 64 | 2018 |
Maosong SunProfessor of Computer Science and Technology, Tsinghua UniversityVerified email at tsinghua.edu.cn
