mlsanityData to 7 Oct 2026

Spatio-Temporal Meta-Graph Learning for Traffic Forecasting

arXiv 2211.14701 ↗First posted 27 Nov 2022cs.LG cs.AIcited by 88

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Abstract (arXiv)

Traffic forecasting as a canonical task of multivariate time series forecasting has been a significant research topic in AI community. To address the spatio-temporal heterogeneity and non-stationarity implied in the traffic stream, in this study, we propose Spatio-Temporal Meta-Graph Learning as a novel Graph Structure Learning mechanism on spatio-temporal data. Specifically, we implement this idea into Meta-Graph Convolutional Recurrent Network (MegaCRN) by plugging the Meta-Graph Learner powered by a Meta-Node Bank into GCRN encoder-decoder. We conduct a comprehensive evaluation on two benchmark datasets (i.e., METR-LA and PEMS-BAY) and a new large-scale traffic speed dataset called EXPY-TKY that covers 1843 expressway road links in Tokyo. Our model outperformed the state-of-the-arts on all three datasets. Besides, through a series of qualitative evaluations, we demonstrate that our model can explicitly disentangle the road links and time slots with different patterns and be robustly adaptive to any anomalous traffic situations. Codes and datasets are available at https://github.com/deepkashiwa20/MegaCRN.

Key facts. Cited by 88 papers in the map (data through 7 Oct 2026). Builds on 36 of its 58 references that are in the map. First posted on arXiv 27 Nov 2022.

Builds on

36 of 58 references.

References · 36

  1. 2017Attention Is All You Needcited by 59,932
  2. 2016Semi-Supervised Classification with Graph Convolutional Networkscited by 11,282
  3. 2017Graph Attention Networkscited by 8,854
  4. 2014Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modelingcited by 2,341
  5. 2016Matching Networks for One Shot Learningcited by 2,246
  6. 2020Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecastingcited by 2,141
  7. 2016Convolutional Neural Networks on Graphs with Fast Localized Spectral Filteringcited by 2,085
  8. 2016WaveNet: A Generative Model for Raw Audiocited by 1,710
  9. 2021Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecastingcited by 1,654
  10. 2015Multi-Scale Context Aggregation by Dilated Convolutionscited by 1,128
  11. 2017Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecastingcited by 1,125
  12. 2016HyperNetworkscited by 1,003
24 more
  1. 2017Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networkscited by 869
  2. 2019Graph WaveNet for Deep Spatial-Temporal Graph Modelingcited by 820
  3. 2019Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecastingcited by 606
  4. 2020Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networkscited by 563
  5. 2019Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detectioncited by 560
  6. 2020Adaptive Graph Convolutional Recurrent Network for Traffic Forecastingcited by 525
  7. 2019GMAN: A Graph Multi-Attention Network for Traffic Predictioncited by 433
  8. 2018T-GCN: A Temporal Graph ConvolutionalNetwork for Traffic Predictioncited by 399
  9. 2021Spectral Temporal Graph Neural Network for Multivariate Time-series Forecastingcited by 298
  10. 2020Learning Memory-guided Normality for Anomaly Detectioncited by 278
  11. 2016Structured Sequence Modeling with Graph Convolutional Recurrent Networkscited by 273
  12. 2021Graph Neural Network for Traffic Forecasting: A Surveycited by 260
  13. 2020Spatial-Temporal Transformer Networks for Traffic Flow Forecastingcited by 179
  14. 2021Discrete Graph Structure Learning for Forecasting Multiple Time Seriescited by 169
  15. 2021Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solutioncited by 156
  16. 2018Temporal Pattern Attention for Multivariate Time Series Forecastingcited by 125
  17. 2022Pre-training Enhanced Spatial-temporal Graph Neural Network for Multivariate Time Series Forecastingcited by 117
  18. 2021DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Predictioncited by 73
  19. 2019Learning from Multiple Cities: A Meta-Learning Approach for Spatial-Temporal Predictioncited by 64
  20. 2020Coupled Layer-wise Graph Convolution for Transportation Demand Predictioncited by 54
  21. 2021Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Networkcited by 52
  22. 2020DiffMG: Differentiable Meta Graph Search for Heterogeneous Graph Neural Networkscited by 34
  23. 2021Learning to Remember Patterns: Pattern Matching Memory Networks for Traffic Forecastingcited by 19
  24. 2021Event-Aware Multimodal Mobility Nowcastingcited by 18

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 1; 2023: 12; 2024: 37; 2025: 21; 2026: 17.

88 papers.

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  1. 2023A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detectioncited by 145
  2. 2023Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Surveycited by 140
  3. 2024UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Predictioncited by 86
  4. 2024A Comprehensive Survey of Dynamic Graph Neural Networks: Models, Frameworks, Benchmarks, Experiments and Challengescited by 29
  5. 2023Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecastingcited by 27
  6. 2024ConvTimeNet: A Deep Hierarchical Fully Convolutional Model for Multivariate Time Series Analysiscited by 26
  7. 2024GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missingcited by 20
  8. 2023Disentangling Structured Components: Towards Adaptive, Interpretable and Scalable Time Series Forecastingcited by 19
  9. 2024Parsimony or Capability? Decomposition Delivers Both in Long-term Time Series Forecastingcited by 18
  10. 2024TESTAM: A Time-Enhanced Spatio-Temporal Attention Model with Mixture of Expertscited by 18
  11. 2024Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecastingcited by 18
  12. 2024RPMixer: Shaking Up Time Series Forecasting with Random Projections for Large Spatial-Temporal Datacited by 17
38 more
  1. 2023STAEformer: Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecastingcited by 12
  2. 2024ST-LoRA: Low-rank Adaptation for Spatio-Temporal Forecastingcited by 9
  3. 2024Multi-Modality Spatio-Temporal Forecasting via Self-Supervised Learningcited by 9
  4. 2024AutoSTF: Decoupled Neural Architecture Search for Cost-Effective Automated Spatio-Temporal Forecastingcited by 9
  5. 2024A Systematic Literature Review of Spatio-Temporal Graph Neural Network Models for Time Series Forecasting and Classificationcited by 9
  6. 2023Signed Graph Neural Ordinary Differential Equation for Modeling Continuous-time Dynamicscited by 8
  7. 2023Learning Gaussian Mixture Representations for Tensor Time Series Forecastingcited by 6
  8. 2023MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptationcited by 6
  9. 2024Urban Traffic Accident Risk Prediction Revisited: Regionality, Proximity, Similarity and Sparsitycited by 6
  10. 2024LSTTN: A Long-Short Term Transformer-based Spatio-temporal Neural Network for Traffic Flow Forecastingcited by 4
  11. 2024NRFormer: Nationwide Nuclear Radiation Forecasting with Spatio-Temporal Transformercited by 4
  12. 2024FACTS: A Factored State-Space Framework For World Modellingcited by 4
  13. 2024DualCast: A Model to Disentangle Aperiodic Events from Traffic Seriescited by 4
  14. 2025How Different from the Past? Spatio-Temporal Time Series Forecasting with Self-Supervised Deviation Learningcited by 4
  15. 2024Unifying Lane-Level Traffic Prediction from a Graph Structural Perspective: Benchmark and Baselinecited by 3
  16. 2024ST-FiT: Inductive Spatial-Temporal Forecasting with Limited Training Datacited by 3
  17. 2025SUSTeR: Sparse Unstructured Spatio Temporal Reconstruction on Traffic Predictioncited by 3
  18. 2025Persistent Homology-induced Graph Ensembles for Time Series Regressionscited by 3
  19. 2025Physics-Guided Learning of Meteorological Dynamics for Weather Downscaling and Forecastingcited by 3
  20. 2024TrafficGPT: Towards Multi-Scale Traffic Analysis and Generation with Spatial-Temporal Agent Frameworkcited by 2
  21. 2024Pre-Training Identification of Graph Winning Tickets in Adaptive Spatial-Temporal Graph Neural Networkscited by 2
  22. 2024Enhancing Spatio-temporal Quantile Forecasting with Curriculum Learning: Lessons Learnedcited by 2
  23. 2024DeepClair: Utilizing Market Forecasts for Effective Portfolio Selectioncited by 2
  24. 2024Leveraging Intra-Period and Inter-Period Features for Enhanced Passenger Flow Prediction of Subway Stationscited by 2
  25. 2024REFOL: Resource-Efficient Federated Online Learning for Traffic Flow Forecastingcited by 2
  26. 2025Dynamic Localisation of Spatial-Temporal Graph Neural Networkcited by 2
  27. 2025A Gravity-informed Spatiotemporal Transformer for Human Activity Intensity Predictioncited by 2
  28. 2025Fine-Grained Traffic Inference from Road to Lane via Spatio-Temporal Graph Node Generationcited by 2
  29. 2025ST-Hyper: Learning High-Order Dependencies Across Multiple Spatial-Temporal Scales for Multivariate Time Series Forecastingcited by 2
  30. 2023SAMSGL: Series-Aligned Multi-Scale Graph Learning for Spatio-Temporal Forecastingcited by 1
  31. 2023TransGlow: Attention-augmented Transduction model based on Graph Neural Networks for Water Flow Forecastingcited by 1
  32. 2024Multi-View Neural Differential Equations for Continuous-Time Stream Data in Long-Term Traffic Forecastingcited by 1
  33. 2024Treating Brain-inspired Memories as Priors for Diffusion Model to Forecast Multivariate Time Seriescited by 1
  34. 2024SSMT: Few-Shot Traffic Forecasting with Single Source Meta-Transfercited by 1
  35. 2024Memory-enhanced Invariant Prompt Learning for Urban Flow Prediction under Distribution Shiftscited by 1
  36. 20252DXformer: Dual Transformers for Wind Power Forecasting with Dual Exogenous Variablescited by 1
  37. 2025Efficient Traffic Forecasting on Large-Scale Road Network by Regularized Adaptive Graph Convolutioncited by 1
  38. 2025IBN: An Interpretable Bidirectional-Modeling Network for Multivariate Time Series Forecasting with Variable Missingcited by 1

50 most cited of 88 All 88 (JSON)