| Spatial-temporal graph ode networks for traffic flow forecasting Z Fang, Q Long, G Song, K Xie Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021 | 256 | 2021 |
| A comprehensive survey on deep graph representation learning W Ju, Z Fang, Y Gu, Z Liu, Q Long, Z Qiao, Y Qin, J Shen, F Sun, Z Xiao, ... Neural Networks, 106207, 2024 | 35 | 2024 |
| Tssrgcn: Temporal spectral spatial retrieval graph convolutional network for traffic flow forecasting X Chen, Y Zhang, L Du, Z Fang, Y Ren, K Bian, K Xie 2020 IEEE International Conference on Data Mining (ICDM), 954-959, 2020 | 32 | 2020 |
| Polarized Graph Neural Networks Z Fang, L Xu, G Song, Q Long, Y Zhang Proceedings of the ACM Web Conference 2022, 1404-1413, 2022 | 17 | 2022 |
| Hgk-gnn: heterogeneous graph kernel based graph neural networks Q Long, L Xu, Z Fang, G Song Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 12 | 2021 |
| Invariant factor graph neural networks Z Fang, Z Zhang, G Song, Y Zhang, D Li, J Hao, X Wang 2022 IEEE International Conference on Data Mining (ICDM), 933-938, 2022 | 3 | 2022 |
| Inductive Graph Alignment Prompt: Bridging the Gap between Graph Pre-training and Inductive Fine-tuning From Spectral Perspective Y Yan, P Zhang, Z Fang, Q Long arXiv preprint arXiv:2402.13556, 2024 | 1 | 2024 |
| Unveiling Delay Effects in Traffic Forecasting: A Perspective from Spatial-Temporal Delay Differential Equations Q Long, Z Fang, C Fang, C Chen, P Wang, Y Zhou arXiv preprint arXiv:2402.01231, 2024 | | 2024 |
| Polarized Graph Neural Networks Z Fang, L Xu, G Song, Q Long, Y Zhang Proceedings of the ACM Web Conference 2022, 1404-1413, 2022 | | 2022 |
Qingqing LongChinese Academy of Sciences, Peking UniversityVerified email at pku.edu.cn
