Multi-View Multi-Attention Graph Neural Network for Traffic Flow Forecasting

Multi-View Multi-Attention Graph Neural Network for Traffic Flow Forecasting

The key to intelligent traffic control and guidance lies in accurate prediction of traffic flow. Since traffic flow data is nonlinear, complex, and dynamic, in order to overcome these issues, graph neural network techniques are employed to address these challenges. For this reason, we propose a deep...

Full description

Bibliographic Details
Main Authors:	Fei Wu, Changjiang Zheng, Chen Zhang, Junze Ma, Kai Sun
Format:	Article
Language:	English
Published:	MDPI AG 2023-01-01
Series:	Applied Sciences
Subjects:	graph neural network passenger flow self-attention mechanisms gated convolution
Online Access:	https://www.mdpi.com/2076-3417/13/2/711

Similar Items

Multi-time Scale Spatial-Temporal Graph Neural Network for Traffic Flow Prediction
by: WANG Ming, PENG Jian, HUANG Fei-hu
Published: (2022-08-01)

Multi-Head Spatiotemporal Attention Graph Convolutional Network for Traffic Prediction
by: Ariyo Oluwasanmi, et al.
Published: (2023-04-01)

Multi-Spatio-Temporal Convolutional Neural Network for Short-Term Metro Passenger Flow Prediction
by: Ye Lu, et al.
Published: (2023-12-01)

Graph Neural Network for Traffic Forecasting: The Research Progress
by: Weiwei Jiang, et al.
Published: (2023-02-01)

Dynamic Graph Convolution Network with Multi-head Attention for Traffic Flow Prediction
by: Hanyou DENG, et al.
Published: (2024-01-01)

STAGCN: Spatial–Temporal Attention Graph Convolution Network for Traffic Forecasting
by: Yafeng Gu, et al.
Published: (2022-05-01)

An Attention and Wavelet Based Spatial-Temporal Graph Neural Network for Traffic Flow and Speed Prediction
by: Shihao Zhao, et al.
Published: (2022-09-01)

Gated Graph Attention Network for Cancer Prediction
by: Linling Qiu, et al.
Published: (2021-03-01)

Short-time Traffic Flow Forecasting Based on Multi-adjacent Graph and Multi-head Attention Mechanism
by: YIN Heng, ZHANG Fan, LI Tianrui
Published: (2023-04-01)

Multistep Coupled Graph Convolution With Temporal-Attention for Traffic Flow Prediction
by: Xiaohui Huang, et al.
Published: (2022-01-01)

Multi-Order-Content-Based Adaptive Graph Attention Network for Graph Node Classification
by: Yong Chen, et al.
Published: (2023-05-01)

A3T-GCN: Attention Temporal Graph Convolutional Network for Traffic Forecasting
by: Jiandong Bai, et al.
Published: (2021-07-01)

A General Traffic Flow Prediction Approach Based on Spatial-Temporal Graph Attention
by: Cong Tang, et al.
Published: (2020-01-01)

Multi-Scale Attention and Structural Relation Graph for Local Feature Matching
by: Xiaohu Nan, et al.
Published: (2022-01-01)

RAG-TCGCN: Aspect Sentiment Analysis Based on Residual Attention Gating and Three-Channel Graph Convolutional Networks
by: Huan Xu, et al.
Published: (2022-11-01)

Bayesian Combination Approach to Traffic Forecasting With Graph Attention Network and ARIMA Model
by: Jinyuan Liu, et al.
Published: (2023-01-01)

Attention-Enhanced Graph Convolutional Networks for Aspect-Based Sentiment Classification with Multi-Head Attention
by: Guangtao Xu, et al.
Published: (2021-04-01)

Brain Age Prediction Using Multi-Hop Graph Attention Combined with Convolutional Neural Network
by: Heejoo Lim, et al.
Published: (2024-03-01)

Attention-based spatio-temporal graph convolutional network considering external factors for multi-step traffic flow prediction
by: Jihua Ye, et al.
Published: (2022-06-01)

Multiscale Global Adaptive Attention Graph Neural Network
by: GOU Ruru, YANG Wenzhu, LUO Zifei, YUAN Yunfeng
Published: (2023-12-01)

PMGCN: Progressive Multi-Graph Convolutional Network for Traffic Forecasting
by: Zhenxin Li, et al.
Published: (2023-06-01)

Multi-Layer Graph Attention Network for Sleep Stage Classification Based on EEG
by: Qi Wang, et al.
Published: (2022-11-01)

Augmented Multi-Component Recurrent Graph Convolutional Network for Traffic Flow Forecasting
by: Chi Zhang, et al.
Published: (2022-01-01)

Subway Passenger Flow Forecasting With Multi-Station and External Factors
by: Yan Danfeng, et al.
Published: (2019-01-01)

Spatial–temporal graph neural network based on node attention
by: Li Qiang, et al.
Published: (2022-04-01)

A Multi-View Approach for Regional Parking Occupancy Prediction with Attention Mechanisms
by: Wei Ye, et al.
Published: (2023-11-01)

Attention-based multi-semantic dynamical graph convolutional network for eeg-based fatigue detection
by: Haojie Liu, et al.
Published: (2023-11-01)

A Graph Neural Network with Spatio-Temporal Attention for Multi-Sources Time Series Data: An Application to Frost Forecast
by: Hernan Lira, et al.
Published: (2022-02-01)

Action Recognition Using Attention-Joints Graph Convolutional Neural Networks
by: Tasweer Ahmad, et al.
Published: (2020-01-01)

ADSTGCN: A Dynamic Adaptive Deeper Spatio-Temporal Graph Convolutional Network for Multi-Step Traffic Forecasting
by: Zhengyan Cui, et al.
Published: (2023-08-01)

Cross-Attention Fusion Based Spatial-Temporal Multi-Graph Convolutional Network for Traffic Flow Prediction
by: Kun Yu, et al.
Published: (2021-12-01)

MFDGCN: Multi-Stage Spatio-Temporal Fusion Diffusion Graph Convolutional Network for Traffic Prediction
by: Zhengyan Cui, et al.
Published: (2022-03-01)

Short-Term Bus Passenger Flow Prediction Based on Graph Diffusion Convolutional Recurrent Neural Network
by: Xubin Zhai, et al.
Published: (2023-04-01)

Enhancing Facial Reconstruction Using Graph Attention Networks
by: Hyeong Geun Lee, et al.
Published: (2023-01-01)

An Improved Model Combining Outlook Attention and Graph Embedding for Traffic Forecasting
by: Jin Zhang, et al.
Published: (2023-01-01)

MAGCNSE: predicting lncRNA-disease associations using multi-view attention graph convolutional network and stacking ensemble model
by: Ying Liang, et al.
Published: (2022-05-01)

Affective-Knowledge-Enhanced Graph Convolutional Networks for Aspect-Based Sentiment Analysis with Multi-Head Attention
by: Xiaodong Cui, et al.
Published: (2023-03-01)

Traffic Prediction Method Integrating Graph Wavelet and Attention Mechanism
by: XUE Yanming, LI Guanghui, QI Tao
Published: (2023-06-01)

STA-GCN: Spatial-Temporal Self-Attention Graph Convolutional Networks for Traffic-Flow Prediction
by: Zhihong Chang, et al.
Published: (2023-06-01)

Graph learning-based spatial-temporal graph convolutional neural networks for traffic forecasting
by: Na Hu, et al.
Published: (2022-12-01)