| Structural deep network embedding D Wang, P Cui, W Zhu Proceedings of the 22nd ACM SIGKDD international conference on Knowledge …, 2016 | 3371 | 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 | 2819 | 2019 |
| Deep learning on graphs: A survey Z Zhang, P Cui, W Zhu arXiv preprint arXiv:1812.04202, 2018 | 1860 | 2018 |
| 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 | 1599 | 2016 |
| 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 | 1433 | 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 | 1083 | 2017 |
| Towards out-of-distribution generalization: A survey J Liu, Z Shen, Y He, X Zhang, R Xu, H Yu, P Cui arXiv preprint arXiv:2108.13624, 2021 | 617 | 2021 |
| 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 | 567 | 2020 |
| 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 | 532 | 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 | 496 | 2019 |
| Graph neural networks: foundation, frontiers and applications L Wu, P Cui, J Pei, L Zhao, X Guo Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 476 | 2022 |
| 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 | 469 | 2019 |
| Disentangled graph convolutional networks J Ma, P Cui, K Kuang, X Wang, W Zhu International conference on machine learning, 4212-4221, 2019 | 404 | 2019 |
| Learning disentangled representations for recommendation J Ma, C Zhou, P Cui, H Yang, W Zhu Advances in neural information processing systems 32, 2019 | 386 | 2019 |
| Social Contextual Recommendation M Jiang, P Cui, R Liu, Q Yang, F Wang, W Zhu, S Yang | 386 | 2012 |
| Deep stable learning for out-of-distribution generalization X Zhang, P Cui, R Xu, L Zhou, Y He, Z Shen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 322 | 2021 |
| 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 | 237 | 2018 |
| Disentangled self-supervision in sequential recommenders J Ma, C Zhou, H Yang, P Cui, X Wang, W Zhu Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 233 | 2020 |
| 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 | 233 | 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 | 222 | 2014 |
