| Graph Wavelet Neural Network B Xu, H Shen, Q Cao, Y Qiu, X Cheng | 400 | 2018 |
| DeepHawkes: Bridging the gap between prediction and understanding of information cascades Q Cao, H Shen, K Cen, W Ouyang, X Cheng Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017 | 243 | 2017 |
| Graph convolutional networks using heat kernel for semi-supervised learning B Xu, H Shen, Q Cao, K Cen, X Cheng Proceedings of the 28th International Joint Conference on Artificial …, 2019 | 140 | 2019 |
| Popularity Prediction on Social Platforms with Coupled Graph Neural Networks Q Cao, H Shen, J Gao, B Wei, X Cheng Proceedings of the 13th International Conference on Web Search and Data …, 2020 | 126 | 2020 |
| Towards Consumer Loan Fraud Detection: Graph Neural Networks with Role-Constrained Conditional Random Field B Xu, H Shen, B Sun, R An, Q Cao, X Cheng Proceedings of the AAAI Conference on Artificial Intelligence 35 (5), 4537-4545, 2021 | 62 | 2021 |
| Single Node Injection Attack against Graph Neural Networks S Tao, Q Cao, H Shen, J Huang, Y Wu, X Cheng Proceedings of the 30th ACM International Conference on Information …, 2021 | 40 | 2021 |
| Conditional gans with auxiliary discriminative classifier L Hou, Q Cao, H Shen, S Pan, X Li, X Cheng International Conference on Machine Learning, 8888-8902, 2022 | 29 | 2022 |
| Signed Bipartite Graph Neural Networks J Huang, H Shen, Q Cao, S Tao, X Cheng Proceedings of the 30th ACM International Conference on Information …, 2021 | 27 | 2021 |
| Adversarial Immunization for Certifiable Robustness on Graphs S Tao, H Shen, Q Cao, L Hou, X Cheng Proceedings of the 14th ACM International Conference on Web Search and Data …, 2021 | 19* | 2021 |
| Predicting the Popularity of Online Content with Group-specific Models Q Cao, H Shen, H Gao, J Gao, X Cheng Proceedings of the 26th International Conference on World Wide Web Companion …, 2017 | 18 | 2017 |
| Negative Can Be Positive: Signed Graph Neural Networks for Recommendation J Huang, R Xie, Q Cao, H Shen, S Zhang, F Xia, X Cheng Information Processing & Management 60 (4), 103403, 2023 | 16 | 2023 |
| INMO: A Model-Agnostic and Scalable Module for Inductive Collaborative Filtering Y Wu, Q Cao, H Shen, S Tao, X Cheng Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 15 | 2022 |
| Self-supervised gans with label augmentation L Hou, H Shen, Q Cao, X Cheng Advances in Neural Information Processing Systems 34, 13019-13031, 2021 | 15 | 2021 |
| Temporal convolutional networks for popularity prediction of messages on social medias J Shao, H Shen, Q Cao, X Cheng Information Retrieval: 25th China Conference, CCIR 2019, Fuzhou, China …, 2019 | 15 | 2019 |
| Anae: Learning node context representation for attributed network embedding K Cen, H Shen, J Gao, Q Cao, B Xu, X Cheng arXiv preprint arXiv:1906.08745, 2019 | 11* | 2019 |
| Adversarial camouflage for node injection attack on graphs S Tao, Q Cao, H Shen, Y Wu, L Hou, F Sun, X Cheng Information Sciences 649, 119611, 2023 | 10 | 2023 |
| Towards generalizable graph contrastive learning: An information theory perspective Y Yuan, B Xu, H Shen, Q Cao, K Cen, W Zheng, X Cheng Neural Networks, 106125, 2024 | 5 | 2024 |
| Augmentation-aware self-supervision for data-efficient GAN training L Hou, Q Cao, Y Yuan, S Zhao, C Ma, S Pan, P Wan, Z Wang, H Shen, ... Advances in Neural Information Processing Systems 36, 2024 | 4 | 2024 |
| Adversarial Learning Data Augmentation for Graph Contrastive Learning in Recommendation J Huang, Q Cao, R Xie, S Zhang, F Xia, H Shen, X Cheng International Conference on Database Systems for Advanced Applications, 373-388, 2023 | 4 | 2023 |
| Towards Efficient and Expressive GNNs for Graph Classification via Subgraph-aware Weisfeiler-Lehman Z Wang, Q Cao, H Shen, X Bingbing, M Zhang, X Cheng Learning on Graphs Conference, 17: 1-17: 18, 2022 | 4 | 2022 |
Bingbing XuAssociate professor, Institute of Computing Technology, Chinese Academy of SciencesVerified email at ict.ac.cn
