Cargando…

MD-GCN: A Multi-Scale Temporal Dual Graph Convolution Network for Traffic Flow Prediction

The spatial–temporal prediction of traffic flow is very important for traffic management and planning. The most difficult challenges of traffic flow prediction are the temporal feature extraction and the spatial correlation extraction of nodes. Due to the complex spatial correlation between differen...

Descripción completa

Detalles Bibliográficos
Autores principales:	Huang, Xiaohui, Wang, Junyang, Lan, Yuanchun, Jiang, Chaojie, Yuan, Xinhua
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9861593/ https://www.ncbi.nlm.nih.gov/pubmed/36679639 http://dx.doi.org/10.3390/s23020841

Ejemplares similares

DualGCN: a dual graph convolutional network model to predict cancer drug response
por: Ma, Tianxing, et al.
Publicado: (2022)

Highway traffic flow prediction model with multi-component spatial–temporal graph convolution networks
por: Ning, Tao, et al.
Publicado: (2022)

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

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

Graph Convolutional Network: Traffic Speed Prediction Fused with Traffic Flow Data
por: Liu, Duanyang, et al.
Publicado: (2021)

TFC-GCN: Lightweight Temporal Feature Cross-Extraction Graph Convolutional Network for Skeleton-Based Action Recognition
por: Wang, Kaixuan, et al.
Publicado: (2023)

SAST-GCN: Segmentation Adaptive Spatial Temporal-Graph Convolutional Network for P3-Based Video Target Detection
por: Lu, Runnan, et al.
Publicado: (2022)

SGGformer: Shifted Graph Convolutional Graph-Transformer for Traffic Prediction
por: Pu, Shilin, et al.
Publicado: (2022)

GCN-IA: User Profile Based on Graph Convolutional Network with Implicit Association Labels
por: Wen, Jie, et al.
Publicado: (2020)

CID-GCN: An Effective Graph Convolutional Networks for Chemical-Induced Disease Relation Extraction
por: Zeng, Daojian, et al.
Publicado: (2021)

CR-GCN: Channel-Relationships-Based Graph Convolutional Network for EEG Emotion Recognition
por: Jia, Jingjing, et al.
Publicado: (2022)

MoGCN: A Multi-Omics Integration Method Based on Graph Convolutional Network for Cancer Subtype Analysis
por: Li, Xiao, et al.
Publicado: (2022)

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

GAS-GCN: Gated Action-Specific Graph Convolutional Networks for Skeleton-Based Action Recognition
por: Chan, Wensong, et al.
Publicado: (2020)

scGCN is a graph convolutional networks algorithm for knowledge transfer in single cell omics
por: Song, Qianqian, et al.
Publicado: (2021)

Multicomponent Spatial-Temporal Graph Attention Convolution Networks for Traffic Prediction with Spatially Sparse Data
por: Liu, Shaohua, et al.
Publicado: (2021)

Multi-Head Spatiotemporal Attention Graph Convolutional Network for Traffic Prediction
por: Oluwasanmi, Ariyo, et al.
Publicado: (2023)

iPiDA-GCN: Identification of piRNA-disease associations based on Graph Convolutional Network
por: Hou, Jialu, et al.
Publicado: (2022)

Traffic Flow Prediction Model Based on the Combination of Improved Gated Recurrent Unit and Graph Convolutional Network
por: Zhao, Yun, et al.
Publicado: (2022)

A Spatial-Temporal Graph Convolutional Recurrent Network for Transportation Flow Estimation
por: Drosouli, Ifigenia, et al.
Publicado: (2023)

Hourly forecasting of traffic flow rates using spatial temporal graph neural networks
por: Belt, Eline A., et al.
Publicado: (2023)

Coronary heart disease prediction method fusing domain-adaptive transfer learning with graph convolutional networks (GCN)
por: Lin, Huizhong, et al.
Publicado: (2023)

Attention-Based Spatial–Temporal Convolution Gated Recurrent Unit for Traffic Flow Forecasting
por: Zhang, Qingyong, et al.
Publicado: (2023)

LABAMPsGCN: A framework for identifying lactic acid bacteria antimicrobial peptides based on graph convolutional neural network
por: Sun, Tong-Jie, et al.
Publicado: (2022)

DeepBindGCN: Integrating Molecular Vector Representation with Graph Convolutional Neural Networks for Protein–Ligand Interaction Prediction
por: Zhang, Haiping, et al.
Publicado: (2023)

Spatio-temporal causal graph attention network for traffic flow prediction in intelligent transportation systems
por: Zhao, Wei, et al.
Publicado: (2023)

Spatial-temporal hypergraph convolutional network for traffic forecasting
por: Zhao, Zhenzhen, et al.
Publicado: (2023)

An Attention-Enhanced Multi-Scale and Dual Sign Language Recognition Network Based on a Graph Convolution Network
por: Meng, Lu, et al.
Publicado: (2021)

Dual Temporal Scale Convolutional Neural Network for Micro-Expression Recognition
por: Peng, Min, et al.
Publicado: (2017)

A New Way of Airline Traffic Prediction Based on GCN-LSTM
por: Yu, Jiangni
Publicado: (2021)

Leverage knowledge graph and GCN for fine-grained-level clickbait detection
por: Zhou, Mengxi, et al.
Publicado: (2022)

Dual graph convolutional neural network for predicting chemical networks
por: Harada, Shonosuke, et al.
Publicado: (2020)

Spatial-Temporal Graph Convolutional Framework for Yoga Action Recognition and Grading
por: Wang, Shu
Publicado: (2022)

Spatial-Temporal Attention Mechanism and Graph Convolutional Networks for Destination Prediction
por: Li, Cong, et al.
Publicado: (2022)

Fast Temporal Graph Convolutional Model for Skeleton-Based Action Recognition
por: Nan, Mihai, et al.
Publicado: (2022)

kGCN: a graph-based deep learning framework for chemical structures
por: Kojima, Ryosuke, et al.
Publicado: (2020)

Multi-View Spatial-Temporal Graph Convolutional Networks With Domain Generalization for Sleep Stage Classification
por: Jia, Ziyu, et al.
Publicado: (2021)

Multitask Learning and GCN-Based Taxi Demand Prediction for a Traffic Road Network
por: Chen, Zhe, et al.
Publicado: (2020)

An Efficient Short-Term Traffic Speed Prediction Model Based on Improved TCN and GCN
por: Hu, Zhiqiu, et al.
Publicado: (2021)

Multi-Agent Decision-Making Modes in Uncertain Interactive Traffic Scenarios via Graph Convolution-Based Deep Reinforcement Learning
por: Gao, Xin, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_5pqn4tn2p9v20d35aaer95k4dk