- Gated Fusion Adaptive Graph Neural Network for Urban Road ...🔍
- Distance adaptive graph convolutional gated network|based smart ...🔍
- Temporal Graph Neural Networks for Traffic Prediction🔍
- Spatiotemporal Adaptive Gated Graph Convolution Network for ...🔍
- jwwthu/GNN4Traffic🔍
- a spatial–temporal graph neural network with adaptive fusion features🔍
- Knowledge fusion enhanced graph neural network for traffic flow ...🔍
- Urban Traffic Flow Forecasting with Spatiotemporal Adaptive Gated ...🔍
Gated Fusion Adaptive Graph Neural Network for Urban Road ...
Gated Fusion Adaptive Graph Neural Network for Urban Road ...
This paper proposes a new spatial-temporal deep learning model: gated fusion adaptive graph neural network (GFAGNN).
(PDF) Gated Fusion Adaptive Graph Neural Network for Urban Road ...
We design a gated fusion mechanism to combine the outputs from each path. The proposed model can be directly applicable to inductive learning ...
(PDF) Gated Fusion Adaptive Graph Neural Network for Urban Road ...
The proposed model consists of three components: the recent, daily and weekly components. The recent component is integrated with an improved graph ...
Gated Fusion Adaptive Graph Neural Network for Urban Road ...
Gated Fusion Adaptive Graph Neural Network for Urban Road Traffic Flow Prediction. Liyan Xiong, Xinhua Yuan, Zhuyi Hu, Xiaohui Huang, Peng Huang. 2024, Neural ...
Gated Fusion Adaptive Graph Neural Network for Urban Road ...
AbstractAccurate prediction of traffic flow plays an important role in maintaining traffic order and traffic safety, which is a key task in the application ...
Gated Fusion Adaptive Graph Neural Network for Urban Road ...
Gated Fusion Adaptive Graph Neural Network for Urban Road Traffic Flow Prediction. Liyan Xiong, Xinhua Yuan, Zhuyi Hu, Xiaohui Huang, Peng Huang.
Distance adaptive graph convolutional gated network-based smart ...
A hybrid graph convolutional gated network for air quality forecasting is proposed. •. Location data and sensor fusion enable precise forecast of primary ...
Gated Fusion Adaptive Graph Neural Network for Urban Road ...
Article "Gated Fusion Adaptive Graph Neural Network for Urban Road Traffic Flow Prediction" Detailed information of the J-GLOBAL is an information service ...
Temporal Graph Neural Networks for Traffic Prediction - arXiv
... graphs, and handles long sequences by stacking fusion graphs and gated ... Zhang, Spatiotemporal adaptive gated graph convolution network for ...
Spatiotemporal Adaptive Gated Graph Convolution Network for ...
... road nodes. Expand. 18 Citations. Add to Library. Alert. Dynamic Spatio-Temporal Graph Fusion Convolutional Network for Urban Traffic Prediction · Haodong Ma ...
jwwthu/GNN4Traffic: This is the repository for the collection ... - GitHub
Spatiotemporal Adaptive Gated Graph Convolution Network for Urban Traffic ... Sequential graph neural network for urban road traffic speed prediction[J].
a spatial–temporal graph neural network with adaptive fusion features
... gate recurrent unit neural network. IEEE Trans Intell Transp ... urban road networks by multi-source data fusion: review and new insights.
Knowledge fusion enhanced graph neural network for traffic flow ...
Due to some potential semantic information correlations related to traffic knowledge, roads and stations in the urban transportation system far away from each ...
Urban Traffic Flow Forecasting with Spatiotemporal Adaptive Gated ...
2 Adaptive Graph Gating Mechanism. 4.2.3 Mix-Hop Propagation Layer. 4.3 Spatiotemporal Fusion Network. 5 Experiment. 5.1 Datasets; 5.2 ...
Adaptive spatial-temporal graph attention networks for traffic flow ...
Gated Fusion Adaptive Graph Neural Network for Urban Road Traffic Flow Prediction ... 2024. TLDR. A new spatial-temporal deep learning model: gated fusion ...
Urban Traffic Flow Forecasting with Spatiotemporal Adaptive Gated ...
In most of existing works, urban road network is often modeled as a fixed graph based on local proximity. However, such modeling is not sufficient to describe ...
Graph Neural Network for Traffic Forecasting: The Research Progress
... adaptive gated GCN, and fusion layers. ... Make More Connections: Urban Traffic Flow Forecasting with Spatiotemporal Adaptive Gated Graph Convolution Network.
Gated Fusion Adaptive Graph Neural Network for Urban Road Traffic Flow Prediction. Download. Open Access. Neural Processing Letters. Profile Image. Liyan Xiong.
STGMN: A gated multi-graph convolutional network framework for ...
Gated Fusion Adaptive Graph Neural Network for Urban Road Traffic Flow Prediction. Liyan Xiong, Xinhua Yuan, Zhuyi Hu, Xiaohui Huang, Peng Huang. https://doi ...
Adaptive graph generation based on generalized pagerank graph ...
In this paper, we propose an adaptive generalized PageRank graph neural network (AGP-GNN) for traffic flow forecasting, which jointly models ...