| Deep learning on graphs: A survey Z Zhang, P Cui, W Zhu IEEE Transactions on Knowledge and Data Engineering 34 (1), 249-270, 2020 | 1678 | 2020 |
| Asymmetric Transitivity Preserving Graph Embedding M Ou, P Cui, J Pei, Z Zhang, W Zhu 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data …, 2016 | 1506 | 2016 |
| Robust Graph Convolutional Networks Against Adversarial Attacks D Zhu, Z Zhang, P Cui, W Zhu Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 426 | 2019 |
| Arbitrary-Order Proximity Preserved Network Embedding Z Zhang, P Cui, X Wang, J Pei, X Yao, W Zhu 24th ACM SIGKDD International Conference on Knowledge Discovery and Data …, 2018 | 223 | 2018 |
| High-order proximity preserved embedding for dynamic networks D Zhu, P Cui, Z Zhang, J Pei, W Zhu IEEE Transactions on Knowledge and Data Engineering 30 (11), 2134-2144, 2018 | 154 | 2018 |
| TIMERS: Error-Bounded SVD Restart on Dynamic Networks Z Zhang, P Cui, J Pei, X Wang, W Zhu Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence …, 2018 | 125 | 2018 |
| Billion-scale Network Embedding with Iterative Random Projection Z Zhang, P Cui, H Li, X Wang, W Zhu 2018 IEEE International Conference on Data Mining (ICDM), 787-796, 2018 | 103 | 2018 |
| Ood-gnn: Out-of-distribution generalized graph neural network H Li, X Wang, Z Zhang, W Zhu IEEE Transactions on Knowledge and Data Engineering, 2022 | 94 | 2022 |
| Disentangled contrastive learning on graphs H Li, X Wang, Z Zhang, Z Yuan, H Li, W Zhu Advances in Neural Information Processing Systems 34, 21872-21884, 2021 | 82 | 2021 |
| Automated Machine Learning on Graphs: A Survey Z Zhang, X Wang, W Zhu Proceedings of the Thirtieth International Joint Conference on Artificial …, 2021 | 81 | 2021 |
| Learning invariant graph representations for out-of-distribution generalization H Li, Z Zhang, X Wang, W Zhu Advances in Neural Information Processing Systems 35, 11828-11841, 2022 | 79 | 2022 |
| Out-Of-Distribution Generalization on Graphs: A Survey H Li, X Wang, Z Zhang, W Zhu arXiv preprint arXiv:2202.07987, 2022 | 78 | 2022 |
| Intention-aware sequential recommendation with structured intent transition H Li, X Wang, Z Zhang, J Ma, P Cui, W Zhu IEEE Transactions on Knowledge and Data Engineering 34 (11), 5403-5414, 2021 | 55 | 2021 |
| Dynamic graph neural networks under spatio-temporal distribution shift Z Zhang, X Wang, Z Zhang, H Li, Z Qin, W Zhu Advances in Neural Information Processing Systems 35, 6074-6089, 2022 | 47 | 2022 |
| Learning to Solve Travelling Salesman Problem with Hardness-adaptive Curriculum Z Zhang, Z Zhang, X Wang, W Zhu Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence …, 2022 | 41 | 2022 |
| Improving accuracy and diversity in matching of recommendation with diversified preference network R Xie, Q Liu, S Liu, Z Zhang, P Cui, B Zhang, L Lin IEEE Transactions on Big Data 8 (4), 955-967, 2021 | 36 | 2021 |
| Autogl: A library for automated graph learning Z Zhang, Y Qin, Z Zhang, C Guan, J Cai, H Chang, J Jiang, H Li, Z Sun, ... arXiv preprint arXiv:2104.04987, 2021 | 32 | 2021 |
| Eigen-gnn: A graph structure preserving plug-in for gnns Z Zhang, P Cui, J Pei, X Wang, W Zhu IEEE Transactions on Knowledge and Data Engineering 35 (3), 2544-2555, 2021 | 30 | 2021 |
| Disentangled graph contrastive learning with independence promotion H Li, Z Zhang, X Wang, W Zhu IEEE Transactions on Knowledge and Data Engineering 35 (8), 7856-7869, 2022 | 27 | 2022 |
| Signed Graph Neural Network with Latent Groups H Liu, Z Zhang, P Cui, Y Zhang, Q Cui, J Liu, W Zhu Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 26 | 2021 |
Wenwu ZhuProfessor, Computer Science, Tsinghua Univerisity在 tsinghua.edu.cn 的电子邮件经过验证
