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Meta Graph Transformer: A Novel Framework for Spatial–Temporal Traffic Prediction

https://doi.org/10.1016/j.neucom.2021.12.033

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Physics-Informed Framework for Dynamic Traffic State Prediction: A Cell Transformer Approach at Signalized Intersections

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Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction

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PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow Prediction

inferred← citeshttps://doi.org/10.1609/aaai.v38i8.28753openalex-snapshot

ModWaveMLP: MLP-Based Mode Decomposition and Wavelet Denoising Model to Defeat Complex Structures in Traffic Forecasting

inferred← citeshttps://doi.org/10.26599/tst.2025.9010062openalex-snapshot

DAT-STAN: Dual-Module Adaptive Transformer and Spatio-Temporal Attention Network for Large-Scale Traffic Flow Prediction

inferred← citeshttps://doi.org/10.32604/cmc.2025.063029openalex-snapshot

Traffic Flow Prediction in Data-Scarce Regions: A Transfer Learning Approach

inferred← citeshttps://doi.org/10.32604/iasc.2023.040517openalex-snapshot

A Nonlinear Spatiotemporal Optimization Method of Hypergraph Convolution Networks for Traffic Prediction

inferred← citeshttps://doi.org/10.3390/app13158673openalex-snapshot

Hybrid Graph Models for Traffic Prediction

inferred← citeshttps://doi.org/10.3390/app13179651openalex-snapshot

Multi-Scale Spatial–Temporal Transformer: A Novel Framework for Spatial–Temporal Edge Data Prediction

inferred← citeshttps://doi.org/10.3390/app14104325openalex-snapshot

STFEformer: Spatial–Temporal Fusion Embedding Transformer for Traffic Flow Prediction

inferred← citeshttps://doi.org/10.3390/app15052377openalex-snapshot

Urban Signalized Intersection Traffic State Prediction: A Spatial–Temporal Graph Model Integrating the Cell Transmission Model and Transformer

inferred← citeshttps://doi.org/10.3390/electronics13030636openalex-snapshot

Local-Global Spatial-Temporal Graph Convolutional Network for Traffic Flow Forecasting

inferred← citeshttps://doi.org/10.3390/electronics13122339openalex-snapshot

Ice Cover Prediction for Transmission Lines Based on Feature Extraction and an Improved Transformer Scheme

inferred← citeshttps://doi.org/10.3390/math12091290openalex-snapshot

Traffic Prediction with Self-Supervised Learning: A Heterogeneity-Aware Model for Urban Traffic Flow Prediction Based on Self-Supervised Learning

inferred← citeshttps://doi.org/10.3390/rs17061106openalex-snapshot

Integrating InSAR Data and LE-Transformer for Foundation Pit Deformation Prediction

inferred← citeshttps://doi.org/10.3390/s24123905openalex-snapshot

A Dual-Stream Cross AGFormer-GPT Network for Traffic Flow Prediction Based on Large-Scale Road Sensor Data

inferred← citeshttps://doi.org/10.3390/s24216894openalex-snapshot

Long-Term Passenger Flow Forecasting for Rail Transit Based on Complex Networks and Informer

inferred← citeshttps://doi.org/10.3390/s24217086openalex-snapshot

TEA-GCN: Transformer-Enhanced Adaptive Graph Convolutional Network for Traffic Flow Forecasting

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