| Structural deep network embedding D Wang, P Cui, W Zhu Proceedings of the 22nd ACM SIGKDD international conference on Knowledge …, 2016 | 2927 | 2016 |
| Heterogeneous graph attention network X Wang, H Ji, C Shi, B Wang, Y Ye, P Cui, PS Yu The world wide web conference, 2022-2032, 2019 | 1856 | 2019 |
| Asymmetric transitivity preserving graph embedding M Ou, P Cui, J Pei, Z Zhang, W Zhu Proceedings of the 22nd ACM SIGKDD international conference on Knowledge …, 2016 | 1360 | 2016 |
| Deep learning on graphs: A survey Z Zhang, P Cui, W Zhu arXiv preprint arXiv:1812.04202, 2018 | 1266 | 2018 |
| A survey on network embedding P Cui, X Wang, J Pei, W Zhu IEEE transactions on knowledge and data engineering 31 (5), 833-852, 2018 | 1213 | 2018 |
| Community preserving network embedding X Wang, P Cui, J Wang, J Pei, W Zhu, S Yang Proceedings of the AAAI conference on artificial intelligence 31 (1), 2017 | 939 | 2017 |
| Social Contextual Recommendation M Jiang, P Cui, R Liu, Q Yang, F Wang, W Zhu, S Yang | 374 | 2012 |
| Am-gcn: Adaptive multi-channel graph convolutional networks X Wang, M Zhu, D Bo, P Cui, C Shi, J Pei Proceedings of the 26th ACM SIGKDD International conference on knowledge …, 2020 | 351 | 2020 |
| Structural deep clustering network D Bo, X Wang, C Shi, M Zhu, E Lu, P Cui Proceedings of The Web Conference 2020, 1400-1410, 2020 | 336 | 2020 |
| 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 | 327 | 2019 |
| Towards out-of-distribution generalization: A survey Z Shen, J Liu, Y He, X Zhang, R Xu, H Yu, P Cui arXiv preprint arXiv:2108.13624, 2021 | 310 | 2021 |
| A semi-supervised graph attentive network for financial fraud detection D Wang, J Lin, P Cui, Q Jia, Z Wang, Y Fang, Q Yu, J Zhou, S Yang, Y Qi 2019 IEEE International Conference on Data Mining (ICDM), 598-607, 2019 | 296 | 2019 |
| Disentangled graph convolutional networks J Ma, P Cui, K Kuang, X Wang, W Zhu International conference on machine learning, 4212-4221, 2019 | 283 | 2019 |
| Learning disentangled representations for recommendation J Ma, C Zhou, P Cui, H Yang, W Zhu Advances in neural information processing systems 32, 2019 | 245 | 2019 |
| Scalable recommendation with social contextual information M Jiang, P Cui, F Wang, W Zhu, S Yang IEEE Transactions on Knowledge and Data Engineering 26 (11), 2789-2802, 2014 | 209 | 2014 |
| Arbitrary-order proximity preserved network embedding Z Zhang, P Cui, X Wang, J Pei, X Yao, W Zhu Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 208 | 2018 |
| Catchsync: catching synchronized behavior in large directed graphs M Jiang, P Cui, A Beutel, C Faloutsos, S Yang Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014 | 208 | 2014 |
| Who Should Share What? Item-level Social Influence Prediction for Users and Posts Ranking P Cui, F Wang, S Liu, M Ou, S Yang, L Sun Proceedings of the 34th international ACM SIGIR conference on Research and …, 2011 | 197 | 2011 |
| Deep recursive network embedding with regular equivalence K Tu, P Cui, X Wang, PS Yu, W Zhu Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018 | 186 | 2018 |
| Structural deep embedding for hyper-networks K Tu, P Cui, X Wang, F Wang, W Zhu Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 186 | 2018 |
