| Graph wavelet neural network B Xu, H Shen, Q Cao, Y Qiu, X Cheng arXiv preprint arXiv:1904.07785, 2019 | 419 | 2019 |
| Graph convolutional networks using heat kernel for semi-supervised learning B Xu, H Shen, Q Cao, K Cen, X Cheng arXiv preprint arXiv:2007.16002, 2020 | 148 | 2020 |
| A survey on graph convolutional neural network B Xu, K Cen, J Huang, H Shen, X Cheng Chinese Journal of Computers 43 (5), 755-780, 2020 | 91 | 2020 |
| 图卷积神经网络综述 徐冰冰， 岑科廷， 黄俊杰， 沈华伟， 程学旗 计算机学报 43 (5), 755-780, 2020 | 80 | 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 | 66 | 2021 |
| Label-consistency based graph neural networks for semi-supervised node classification B Xu, J Huang, L Hou, H Shen, J Gao, X Cheng Proceedings of the 43rd International ACM SIGIR conference on research and …, 2020 | 45 | 2020 |
| Company-as-tribe: Company financial risk assessment on tribe-style graph with hierarchical graph neural networks W Bi, B Xu, X Sun, Z Wang, H Shen, X Cheng Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 27 | 2022 |
| When spatio-temporal meet wavelets: Disentangled traffic forecasting via efficient spectral graph attention networks Y Fang, Y Qin, H Luo, F Zhao, B Xu, L Zeng, C Wang 2023 IEEE 39th International Conference on Data Engineering (ICDE), 517-529, 2023 | 18 | 2023 |
| Predicting the silent majority on graphs: Knowledge transferable graph neural network W Bi, B Xu, X Sun, L Xu, H Shen, X Cheng Proceedings of the ACM Web Conference 2023, 274-285, 2023 | 15 | 2023 |
| 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 |
| Spatio-temporal meets wavelet: Disentangled traffic flow forecasting via efficient spectral graph attention network Y Fang, Y Qin, H Luo, F Zhao, B Xu, C Wang, L Zeng arXiv preprint arXiv:2112.02740, 2021 | 9 | 2021 |
| 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 172, 106125, 2024 | 7 | 2024 |
| Dyted: Disentangled representation learning for discrete-time dynamic graph K Zhang, Q Cao, G Fang, B Xu, H Zou, H Shen, X Cheng Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 7 | 2023 |
| Bridged-gnn: Knowledge bridge learning for effective knowledge transfer W Bi, X Cheng, B Xu, X Sun, L Xu, H Shen Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 6 | 2023 |
| IDEA: Invariant Defense for Graph Adversarial Robustness S Tao, Q Cao, H Shen, Y Wu, B Xu, X Cheng Information Sciences, 121171, 2024 | 4 | 2024 |
| Coordinate mapping method of crowdsourced data for indoor fingerprint localization Z Li, W Li, D Wei, H Yuan, B Xu, H Shen 2022 IEEE 12th International Conference on Indoor Positioning and Indoor …, 2022 | 3 | 2022 |
| Significant-attributed Community Search in Heterogeneous Information Networks Y Liu, F Guo, B Xu, P Bao, H Shen, X Cheng arXiv preprint arXiv:2308.13244, 2023 | 2 | 2023 |
| Location-aware convolutional neural networks for graph classification Z Wang, Q Cao, H Shen, B Xu, K Cen, X Cheng Neural Networks 155, 74-83, 2022 | 2 | 2022 |
| Twin Weisfeiler-Lehman: High Expressive GNNs for Graph Classification Z Wang, Q Cao, H Shen, B Xu, X Cheng arXiv preprint arXiv:2203.11683, 2022 | 2 | 2022 |
| Pde+: Enhancing generalization via pde with adaptive distributional diffusion Y Yuan, B Xu, B Lin, L Hou, F Sun, H Shen, X Cheng Proceedings of the AAAI Conference on Artificial Intelligence 38 (15), 16614 …, 2024 | 1 | 2024 |
Qi CaoAssociate Professor, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China在 ict.ac.cn 的电子邮件经过验证
