Dynamic spatial aware graph transformer for spatiotemporal traffic ...

We propose a spatiotemporal gated transformer network with a graph latent information learning structure, termed GL-STGTN, for spatiotemporal traffic flow ...

We propose a spatiotemporal gated transformer network with a graph latent information learning structure, termed GL-STGTN, for spatiotemporal traffic flow ...

Dynamic Spatial Aware Graph Transformer for Spatiotemporal ...

A Noise-Immune Boosting Framework for Short-Term Traffic Flow Forecasting.Shiqiang Zheng, Shuangyi Zhang, Youyi Song, Zhizhe Lin, Dazhi Jiang & Teng Zhou - 2021 ...

Dynamic Spatial Aware Graph Transformer for Spatiotemporal ...

Request PDF | Dynamic Spatial Aware Graph Transformer for Spatiotemporal Traffic Flow Forecasting | Accurately predicting traffic flow is a ...

Dynamic spatial aware graph transformer for spatiotemporal traffic ...

Dynamic spatial aware graph transformer for spatiotemporal traffic flow forecasting. Z. Li, J. Zhou, Z. Lin, and T. Zhou. Knowl. Based Syst., (2024 ).

Dynamic spatial aware graph transformer for spatiotemporal traffic ...

B. Yu, H. Yin, Z. Zhu, Spatio-temporal graph convolutional networks: a deep learning framework for traffic forecasting, in: Proceedings of the ...

Efficient Spatiotemporal Graph Transformer for Traffic Forecasting

In contrast, self-attention mechanisms, while disregarding explicit graph structures [5] , implicitly capture global spatial interactions ...

Dynamic spatial aware graph transformer for spatiotemporal traffic ...

The mainstream spatiotemporal graph convolutional neural networks are usually based on prior knowledge to predefine adjacency matrix graphs for spatial ...

Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic ...

Transformer algorithms (Park et al., 2019; Wang et al., 2020) resorted to a self-attention mechanism to model the spatial-temporal correlations. However, due to ...

Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic ...

DSTAGNN [39] : Integrates dynamic graph learning with attention mechanisms to capture evolving spatialtemporal dependencies within traffic networks. ... D 2 STGNN ...

Deep transformer-based heterogeneous spatiotemporal graph ...

Furthermore, we introduce adaptive normalized graph structures within different graph layers, enabling the model to capture dynamic spatial dependencies and ...

[PDF] STGformer: Efficient Spatiotemporal Graph Transformer for ...

DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting · Shiyong LanYitong MaWei HuangWenwu WangHongyu YangP. Li. Computer ...

Transport-Hub-Aware Spatial-Temporal Adaptive Graph ...

Transport-Hub-Aware Spatial-Temporal Adaptive Graph Transformer for Traffic Flow Prediction ... As a core technology of Intelligent Transportation ...

[PDF] Transport-Hub-Aware Spatial-Temporal Adaptive Graph ...

A Transport-Hub-aware Spatial-Temporal adaptive graph transFormer (H-STFormer) for traffic flow prediction, which first design a novel spatial ...

ByGCN: Spatial Temporal Byroad-Aware Graph Convolution ...

How to fully utilize the traffic data, and capture the spatial temporal correlation are keys to improve the model's prediction ability. Numerous ...

Towards Dynamic Spatial-Temporal Graph Learning: A Decoupled ...

2023. PDFormer: Propagation Delay-aware Dynamic Long-range. Transformer for Traffic Flow Prediction. arXiv preprint. arXiv:2301.07945.

Transport-Hub-Aware Spatial-Temporal Adaptive Graph ...

Transport-Hub-Aware Spatial-Temporal Adaptive Graph Transformer for Traffic Flow Prediction ... Abstract. As a core technology of Intelligent Transportation ...

Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic ...

Transformer algorithms (Park et al., 2019; Wang et al., 2020) resorted to a self-attention mechanism to model the spatial-temporal correlations. However, due to ...

Awesome Graph Neural Networks for Time Series Analysis (GNN4TS)

DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow ... Adaptive Spatiotemporal Transformer Graph Network for Traffic Flow ...

DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural ...

This paper proposes a novel Dynamic Spatial-Temporal Aware Graph Neural Network (DSTAGNN) to model the complex spatial-temporal interaction in road network.