GraphSAGE-based dynamic spatial–temporal graph convolutional network for traffic prediction

T Liu, A Jiang, J Zhou, M Li… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Traffic networks exhibit complex spatial-temporal dependencies, and accurately capturing
such dependencies is critical to improving prediction accuracy. Recently, many deep …
被引用次数：11 相关文章

GraphSAGE-Based Dynamic Spatial–Temporal Graph Convolutional Network for Traffic Prediction

T Liu, A Jiang, J Zhou, M Li, HK Kwan - IEEE Transactions on Intelligent …, 2023 - trid.trb.org
Traffic networks exhibit complex spatial-temporal dependencies, and accurately capturing
such dependencies is critical to improving prediction accuracy. Recently, many deep …

GraphSAGE-Based Dynamic Spatial–Temporal Graph Convolutional Network for Traffic Prediction

T Liu, A Jiang, J Zhou, M Li, HK Kwan - IEEE Transactions on Intelligent …, 2023 - dl.acm.org
Traffic networks exhibit complex spatial-temporal dependencies, and accurately capturing
such dependencies is critical to improving prediction accuracy. Recently, many deep …