| 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 | 1318 | 2020 |
| 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 | 25 | 2021 |
| 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 | 19 | 2020 |
| Introduction to graph neural networks Z Liu, J Zhou Synthesis Lectures on Artificial Intelligence and Machine Learning 14 (2), 1-127, 2020 | 17 | 2020 |
| Machine-learning-driven matrix ordering for power grid analysis G Cui, W Yu, X Li, Z Zeng, B Gu 2019 Design, Automation & Test in Europe Conference & Exhibition (DATE), 984-987, 2019 | 4 | 2019 |
| Evaluating Modules in Graph Contrastive Learning G Cui, Y Du, C Yang, J Zhou, L Xu, L Wang, Z Liu arXiv preprint arXiv:2106.08171, 2021 | | 2021 |
| Capacitance Extraction and Power Grid Analysis Using Statistical and AI Methods W Yu, M Yang, Y Feng, G Cui, B Gu 2020 25th Asia and South Pacific Design Automation Conference (ASP-DAC), 428-433, 2020 | | 2020 |
Zhiyuan LiuAssociate Professor, Tsinghua UniversityVerified email at tsinghua.edu.cn
