Automated Dilated Spatio-Temporal Synchronous Graph Modeling for Traffic Prediction
Guangyin Jin(National University of Defense Technology), Jincai Huang(National University of Defense Technology), Fuxian Li(Tsinghua University), Mudan Wang(Tsinghua University), Jinlei Zhang(Beijing Jiaotong University)
Cited by 104
Related Papers
Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution
|ACM Transactions on Knowledge Discovery from Data|2022|499
Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey
|IEEE Transactions on Knowledge and Data Engineering|2023|425
Urban ride-hailing demand prediction with multiple spatio-temporal information fusion network
|Transportation Research Part C Emerging Technologies|2020|145
Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis
|IEEE Transactions on Knowledge and Data Engineering|2024|142
STGNN-TTE: Travel time estimation via spatial–temporal graph neural network
|Future Generation Computer Systems|2021|95