- Liu D, Wang J, Shang S, et al. MSDR: Multi-Step Dependency Relation Networks for Spatial Temporal Forecasting[C]//Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 2022: 1042-1050. Link Code
- Zhuang D, Wang S, Koutsopoulos H, et al. Uncertainty Quantification of Sparse Travel Demand Prediction with Spatial-Temporal Graph Neural Networks[C]//Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 2022: 4639-4647. Link
- Shao Z, Zhang Z, Wang F, et al. Pre-training Enhanced Spatial-temporal Graph Neural Network for Multivariate Time Series Forecasting[C]. KDD, 2022. Link Code
- Lu B, Gan X, Zhang W, et al. Spatio-Temporal Graph Few-Shot Learning with Cross-City Knowledge Transfer[C]. KDD, 2022. Link Code
- Li R, Zhong T, Jiang X, et al. Mining Spatio-Temporal Relations via Self-Paced Graph Contrastive Learning[C]//Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 2022: 936-944. Link
- Jin Y, Chen K, Yang Q. Selective Cross-City Transfer Learning for Traffic Prediction via Source City Region Re-Weighting[C]//Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 2022: 731-741. Link Code