Temporal representation learning enhanced dynamic adversarial graph convolutional network for traffic flow prediction

Abstract Accurate traffic flow prediction serves as the foundation for urban traffic guidance and control, playing a crucial role in intelligent transportation management and regulation. However, current methods fail to fully capture the complex patterns and periodic characteristics of traffic flow,...

Full description

Bibliographic Details
Published in:	Scientific Reports
Main Authors:	Linlong Chen, Linbiao Chen, Hongyan Wang, Jian Zhao
Format:	Article
Language:	English
Published:	Nature Portfolio 2025-03-01
Subjects:	Traffic flow prediction Dynamic graph generation Dynamic spatiotemporal characteristics Temporal representation learning Graph convolutional networks
Online Access:	https://doi.org/10.1038/s41598-025-93168-1

Similar Items

Dynamic graph convolutional networks with Temporal representation learning for traffic flow prediction
by: Aihua Zhang
Published: (2025-05-01)

Multi dynamic temporal representation graph convolutional network for traffic flow prediction
by: Zuojun Wu, et al.
Published: (2025-05-01)

Spatial-Temporal Dynamic Graph Convolutional Neural Network for Traffic Prediction
by: Wenjuan Xiao, et al.
Published: (2023-01-01)

Dynamic Spatio-Temporal Graph Fusion Convolutional Network for Urban Traffic Prediction
by: Haodong Ma, et al.
Published: (2023-08-01)

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

Short-term urban traffic forecasting in smart cities: a dynamic diffusion spatial-temporal graph convolutional network
by: Xiang Yin, et al.
Published: (2025-01-01)

STFGCN: Spatio-Temporal Fusion Graph Convolutional Networks for Subway Traffic Prediction
by: Xiaoxi Zhang, et al.
Published: (2024-01-01)

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

Time-Evolving Graph Convolutional Recurrent Network for Traffic Prediction
by: Weimin Mai, et al.
Published: (2022-03-01)

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

Spatial–Temporal-Correlation-Constrained Dynamic Graph Convolutional Network for Traffic Flow Forecasting
by: Yajun Ge, et al.
Published: (2024-10-01)

MD-GCN: A Multi-Scale Temporal Dual Graph Convolution Network for Traffic Flow Prediction
by: Xiaohui Huang, et al.
Published: (2023-01-01)

Spatial–Temporal Dynamic Graph Differential Equation Network for Traffic Flow Forecasting
by: Junwei Zhou, et al.
Published: (2023-06-01)

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

Hierarchical Dynamic Spatio-Temporal Graph Convolutional Networks with Self-Supervised Learning for Traffic Flow Forecasting
by: Siwei Wei, et al.
Published: (2024-09-01)

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

MGHCN: Multi-graph structures and hypergraph convolutional networks for traffic flow prediction
by: Xuanxuan Fan, et al.
Published: (2025-01-01)

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

STFDSGCN: Spatio-Temporal Fusion Graph Neural Network Based on Dynamic Sparse Graph Convolution GRU for Traffic Flow Forecast
by: Jiahao Chang, et al.
Published: (2025-05-01)

An adaptive spatiotemporal dynamic graph convolutional network for traffic prediction
by: Zhiguo Xiao, et al.
Published: (2025-07-01)

Global Spatial-Temporal Graph Convolutional Network for Urban Traffic Speed Prediction
by: Liang Ge, et al.
Published: (2020-02-01)

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

Frequency Enhanced Dynamic Graph Convolutional Networks for Traffic Flow Forecasting
by: Liyuan Wang, et al.
Published: (2025-01-01)

Region-Level Traffic Prediction Based on Temporal Multi-Spatial Dependence Graph Convolutional Network from GPS Data
by: Haiqiang Yang, et al.
Published: (2022-01-01)

Temporal Knowledge Graph Representation Learning
by: XU Yong-xin, ZHAO Jun-feng, WANG Ya-sha, XIE Bing, YANG Kai
Published: (2022-09-01)

SASTGCN: A Self-Adaptive Spatio-Temporal Graph Convolutional Network for Traffic Prediction
by: Wei Li, et al.
Published: (2023-08-01)

Temporal-Guided Knowledge Graph-Enhanced Graph Convolutional Network for Personalized Movie Recommendation Systems
by: Chin-Yi Chen, et al.
Published: (2023-09-01)

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

Traffic Flow Prediction Research Based on an Interactive Dynamic Spatial–Temporal Graph Convolutional Probabilistic Sparse Attention Mechanism (IDG-PSAtt)
by: Zijie Ding, et al.
Published: (2024-03-01)

Grid Partition-Based Dynamic Spatial–Temporal Graph Convolutional Network for Large-Scale Traffic Flow Forecasting
by: Lifeng Gao, et al.
Published: (2025-05-01)

Traffic flow prediction based on spatial-temporal multi factor fusion graph convolutional networks
by: Ying-Ting Chen, et al.
Published: (2025-04-01)

Dynamic Graph Representation Learning With Neural Networks: A Survey
by: Leshanshui Yang, et al.
Published: (2024-01-01)

Traffic flow prediction based on temporal attention and multi-graph adjacency fusion using DynamicChebNet
by: Jingbao Zhang, et al.
Published: (2025-10-01)

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

Predicting traffic propagation flow in urban road network with multi-graph convolutional network
by: Haiqiang Yang, et al.
Published: (2023-06-01)

Memory-Enhanced Transformer for Representation Learning on Temporal Heterogeneous Graphs
by: Longhai Li, et al.
Published: (2023-03-01)

An Adaptive Spatio-Temporal Traffic Flow Prediction Using Self-Attention and Multi-Graph Networks
by: Basma Alsehaimi, et al.
Published: (2025-01-01)

Spatio-temporal transformer and graph convolutional networks based traffic flow prediction
by: Jin Zhang, et al.
Published: (2025-07-01)

STHSGCN: Spatial-temporal heterogeneous and synchronous graph convolution network for traffic flow prediction
by: Xian Yu, et al.
Published: (2023-09-01)

Heterogeneous Dynamic Graph Convolutional Networks for Enhanced Spatiotemporal Flood Forecasting by Remote Sensing
by: Jiange Jiang, et al.
Published: (2024-01-01)