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awesome-spatio-temporal-graph

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This repository contains a list of papers on spatio-temporal graph, especially about GNNs on S-T graph.

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# awesome-spatio-temporal-graph

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Spatio-temporal graph is of great importance in a large number of applications such as transportation and urban finance. In recent years, a great deal of work has been done to investigate it in terms of models, methods ,and applications.

This repository contains a list of papers on **spatio-temporal graph**, especially about GNNs on S-T graph, which we first classify according to their year of publication and then subdivide into three categories: models(a new model), methods(use some methods to improve the performance), and applications(applications in other fields).

If you find any errors or missed papers, please directly open a [PR](https://github.com/TianyuFan0504/awesome-spatio-temporal-graph/pulls).

## Year 2023

### Model
[ICML 2023] **Continuous Spatiotemporal Transformer** [[paper]](https://icml.cc/virtual/2023/poster/23610)

[KDD 2023] **Localised Adaptive Spatial-Temporal Graph Neural Network** [[paper]](https://arxiv.org/abs/2306.06930)

[KDD 2023] **Spatial Heterophily Aware Graph Neural Networks** [[paper]](https://arxiv.org/abs/2306.12139)

[KDD 2023] **Graph Neural Processes for Spatio-Temporal Extrapolation** [[paper]](https://arxiv.org/abs/2305.18719)

[KDD 2023] **FRIGATE: Frugal Spatio-temporal Forecasting on Road Networks** [[paper]](https://arxiv.org/abs/2306.08277)

[arxiv 2023] **Attention-based Spatial-Temporal Graph Convolutional Recurrent Networks for Traffic Forecasting** [[paper]](https://arxiv.org/abs/2302.12973)

[arxiv 2023] **Dynamic Graph Convolution Network with Spatio-Temporal Attention Fusion for Traffic Flow Prediction** [[paper]](https://arxiv.org/abs/2302.12598)

[ICLR 2023] **TILP: Differentiable Learning of Temporal Logical Rules on Knowledge Graphs** [[paper]](https://openreview.net/pdf?id=_X12NmQKvX)

[AAAI 2023] **Spatio-Temporal Meta-Graph Learning for Traffic Forecasting** [[paper]](https://link.zhihu.com/?target=https%3A//arxiv.org/abs/2211.14701)

[AAAI 2023] **Easy Begun is Half Done: Spatial-Temporal Graph Modeling with ST-Curriculum Dropout** [[paper]](https://arxiv.org/abs/2211.15182)

[AAAI 2023] **Spatio-Temporal Graph Neural Point Process for Traffic Congestion Event Prediction**

[AAAI 2023] **Scalable Spatiotemporal Graph Neural Networks** [[paper]](https://arxiv.org/abs/2209.06520)

### Method
[ICML 2023] **Neural Wave Machines: Learning Spatiotemporally Structured Representations with Locally Coupled Oscillatory Recurrent Neural Networks** [[paper]](https://icml.cc/virtual/2023/poster/23717)

[ICML 2023] **Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation** [[paper]](https://icml.cc/virtual/2023/poster/24346)

[KDD 2023] **ST-iFGSM: Enhancing Robustness of Human Mobility Signature Identification Model via Spatial-Temporal Iterative FGSM** [[paper]](https://dl.acm.org/doi/10.1145/3580305.3599513)

[KDD 2023] **Causal Effect Estimation on Hierarchical Spatial Graph Data**

[KDD 2023] **Robust Spatiotemporal Traffic Forecasting with Reinforced Dynamic Adversarial Training **[[paper]](https://arxiv.org/abs/2306.14126)

[KDD 2023] **Generative Causal Interpretation Model for Spatio-Temporal Representation Learning** [[paper]](https://dl.acm.org/doi/10.1145/3580305.3599363)

[KDD 2023] **Maintaining the Status Quo: Capturing Invariant Relations for OOD Spatiotemporal Learning** [[paper]](https://di.ustc.edu.cn/_upload/tpl/11/ea/4586/template4586/assets/images/papers/zzy/CauSTG.pdf)

[KDD 2023] **On Hierarchical Disentanglement of Interactive Behaviors for Multimodal Spatiotemporal Data with Incompleteness** [[paper]](https://dl.acm.org/doi/abs/10.1145/3580305.3599448)

[ICLR 2023] **Do We Really Need Complicated Model Architectures For Temporal Networks?** [[paper]](https://openreview.net/pdf?id=ayPPc0SyLv1)

[ICLR 2023] **TOWARDS OPEN TEMPORAL GRAPH NEURAL NETWORKS** [[paper]](https://openreview.net/pdf?id=N9Pk5iSCzAn)

[ICLR 2023] **Explaining Temporal Graph Models through an Explorer-Navigator Framework** [[paper]](https://openreview.net/pdf?id=BR_ZhvcYbGJ)

[AAAI 2023] **Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction** [[paper]](https://arxiv.org/abs/2212.04475)

[AAAI 2023] **Revisiting the Spatial and Temporal Modeling for Few-shot Action Recognition** [[paper]](https://arxiv.org/abs/2301.07944)

[AAAI 2023] **Enhancing Dynamic GCN for Node Attribute Forecasting with Meta Spatial-temporal Learning**

[AAAI 2023] **AutoSTL: Automated Spatio-Temporal Multi-Task Learning**

[arxiv 2023] **A Dynamic Temporal Self-attention Graph Convolutional Network for Traffic Prediction** [[paper]](https://arxiv.org/abs/2302.10428)

[arxiv 2023] **Do We Really Need Graph Neural Networks for Traffic Forecasting?** [[paper]](https://arxiv.org/abs/2301.12603)

[TMLR 2023] **Understanding and Simplifying Architecture Search in Spatio-Temporal Graph Neural Networks**[[paper]](https://openreview.net/forum?id=4jEuiMPKSF&referrer=%5BTMLR%5D(%2Fgroup%3Fid%3DTMLR))

### Application

[KDD 2023] **A Data-driven Region Generation Framework for Spatiotemporal Transportation Service Management** [[paper]](https://arxiv.org/abs/2306.02806)

[KDD 2023] **Learning Joint Relational Co-evolution in Spatial-Temporal Knowledge Graph for SMEs Supply Chain Prediction**

[AAAI 2023] **Self-supervised Action Representation Learning from Partial Spatio-Temporal** [[paper]](https://arxiv.org/abs/2302.09018)

[arxiv 2023] **Graph Neural Rough Differential Equations for Traffic Forecasting** [[paper]](https://arxiv.org/abs/2303.10909)

[AAAI 2023] **Spatiotemporal Deformation Perception for Fisheye Video Rectification** [[paper]](https://arxiv.org/abs/2302.03934)

[AAAI 2023] **Spatio-temporal Neural Structural Causal Models for Bike Flow Prediction** [[paper]](https://arxiv.org/abs/2301.07843)

[ICDE 2023] **When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks**

[ICDE 2023] **BASM: A Bottom-up Adaptive Spatiotemporal Model for Online Food Ordering Service** [[paper]](https://arxiv.org/abs/2211.12033)

## Year 2022

### Model

[ICML 2022] **DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting** [[paper]](https://proceedings.mlr.press/v162/lan22a/lan22a.pdf)

[ICML 2022] **pathGCN: Learning General Graph Spatial Operators from Paths** [[paper]](https://proceedings.mlr.press/v162/eliasof22a.html)

[KDD 2022] **Mining Spatio-Temporal Relations via Self-Paced Graph Contrastive Learning** [[paper]](https://dl.acm.org/doi/abs/10.1145/3534678.3539422)

[KDD 2022] **MSDR: Multi-Step Dependency Relation Networks for Spatial Temporal Forecasting** [[paper]](https://dl.acm.org/doi/abs/10.1145/3534678.3539397)

[NeurIPS 2022] **Dynamic Graph Neural Networks Under Spatio-Temporal Distribution Shift** [[paper]](https://openreview.net/forum?id=1tIUqrUuJxx)

[TITS 2022] **KST-GCN: A Knowledge-Driven Spatial-Temporal Graph Convolutional Network for Traffic Forecasting** [[paper]](https://ieeexplore.ieee.org/abstract/document/9681326)

[VLDB 2022] **Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting** [[paper]](https://arxiv.org/abs/2206.09112)

[TVT 2022] **FDSA-STG: Fully Dynamic Self-Attention Spatio-Temporal Graph Networks for Intelligent Traffic Flow Prediction** [[paper]](https://ieeexplore.ieee.org/abstract/document/9782553)

### Method

[KDD 2022] **Spatio-Temporal Trajectory Similarity Learning in Road Networks** [[paper]](https://dl.acm.org/doi/abs/10.1145/3534678.3539375)

[KDD 2022] **Spatio-Temporal Graph Few-Shot Learning with Cross-City Knowledge Transfer** [[paper]](https://dl.acm.org/doi/abs/10.1145/3534678.3539281)

[KDD 2022] **Pre-training Enhanced Spatial-temporal Graph Neural Network for Multivariate Time Series Forecasting** [[paper]](https://dl.acm.org/doi/abs/10.1145/3534678.3539396)

[SIGSPATIAL 2022] **When Do Contrastive Learning Signals Help Spatio-Temporal Graph Forecasting?** [[paper]](https://arxiv.org/abs/2108.11873)

[NeurIPS 2022] **AutoST: Towards the Universal Modeling of Spatio-temporal Sequences** [[paper]](https://openreview.net/forum?id=tVHh_vD84EK)

[NeurIPS 2022] **Searching for Better Spatio-temporal Alignment in Few-Shot Action Recognition** [[paper]](https://openreview.net/forum?id=IlYS1pLa9y)

[NeurIPS 2022] **Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations** [[paper]](https://openreview.net/forum?id=ejkwDKPowQl)

[NeurIPS 2022] **Practical Adversarial Attacks on Spatiotemporal Traffic Forecasting Models** [[paper]](https://openreview.net/forum?id=lTKXh991Ayv)

[NeurIPS 2022] **AZ-whiteness test: a test for signal uncorrelation on spatio-temporal graphs** [[paper]](https://openreview.net/forum?id=SFeKNSxect)

[NeurIPS 2022] **Multivariate Time-Series Forecasting with Temporal Polynomial Graph Neural Networks** [[paper]](https://openreview.net/forum?id=pMumil2EJh)

[KBS 2022] **Adaptive Spatio-temporal Graph Neural Network for traffic forecasting** [[paper]](https://www.sciencedirect.com/science/article/abs/pii/S0950705122000508)

[arxiv 2022] **STGIN: A Spatial Temporal Graph-Informer Network for Long Sequence Traffic Speed Forecasting** [[paper]](https://arxiv.org/abs/2210.01799)

[MDPI 2022] **A Spatio-Temporal Graph Neural Network Approach for Traffic Flow Prediction** [[paper]](https://www.mdpi.com/2227-7390/10/10/1754)

[AAAI 2022] **Temporal Knowledge Graph Completion Using Box Embeddings** [[paper]](https://ojs.aaai.org/index.php/AAAI/article/view/20746)

[AAAI 2022] **Disentangled Spatiotemporal Graph Generative Model** [[paper]](https://ojs.aaai.org/index.php/AAAI/article/view/20607)

[AAAI 2022] **TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs** [[paper]](https://ojs.aaai.org/index.php/AAAI/article/view/20330)

[ICLR 2022] **TAMP-S2GCNets: Coupling Time-Aware Multipersistence Knowledge Representation with Spatio-Supra Graph Convolutional Networks for Time-Series Forecasting** [[paper]](https://openreview.net/pdf?id=wv6g8fWLX2q)

[ICLR 2022] **Learning to Remember Patterns: Pattern Matching Memory Networks for Traffic Forecasting** [[paper]](https://openreview.net/pdf?id=wwDg3bbYBIq)

### Application

[AAAI 2022] **Conditional Local Convolution for Spatio-Temporal Meteorological Forecasting** [[paper]](https://ojs.aaai.org/index.php/AAAI/article/view/207110)

[IJCAI 2022] **Modeling Spatio-temporal Neighbourhood for Personalized Point-of-interest Recommendation** [[paper]](https://www.ijcai.org/proceedings/2022/0490.pdf)

[IJCAI 2022] **Long-term Spatio-Temporal Forecasting via Dynamic Multiple-Graph Attention** [[paper]](https://www.ijcai.org/proceedings/2022/0309.pdf)

[KDD 2022] **Recommendation in Offline Stores: A Gamification Approach for Learning the Spatiotemporal Representation of Indoor Shopping** [[paper]](https://dl.acm.org/doi/abs/10.1145/3534678.3539199)

[KDD 2022] **Graph2Route: A Dynamic Spatial-Temporal Graph Neural Network for Pick-up and Delivery Route Prediction** [[paper]](https://dl.acm.org/doi/abs/10.1145/3534678.3539084)

[KDD 2022] **Uncertainty Quantification of Sparse Travel Demand Prediction with Spatial-Temporal Graph Neural Networks** [[paper]](https://dl.acm.org/doi/abs/10.1145/3534678.3539093)

[ICDE 2022] **Spatial-Temporal Hypergraph Self-Supervised Learning for Crime Prediction** [[paper]](https://ieeexplore.ieee.org/document/9835423)

## Year 2021

### Model

[AAAI 2021] **Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network** [[paper]](https://ojs.aaai.org/index.php/AAAI/article/view/17761)

[KDD 2021] **Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting** [[paper]](https://dl.acm.org/doi/abs/10.1145/3447548.3467430)

[KDD 2021] **Dynamic and Multi-faceted Spatio-temporal Deep Learning for Traffic Speed Forecasting** [[paper]](https://dl.acm.org/doi/abs/10.1145/3447548.3467275)

[KDD 2021] **Cross-Node Federated Graph Neural Network for Spatio-Temporal Data Modeling** [[paper]](https://dl.acm.org/doi/abs/10.1145/3447548.3467371)

[AAAI 2021] **Spatial-Temporal Fusion Graph Neural Networks for Traffic Flow Forecasting** [[paper]](https://ojs.aaai.org/index.php/AAAI/article/view/16542)

[AAAI 2021] **FC-GAGA: Fully Connected Gated Graph Architecture for Spatio-Temporal Traffic Forecasting** [[paper]](https://ojs.aaai.org/index.php/AAAI/article/view/17114)

[ICLR 2021] **Spatio-Temporal Graph Scattering Transform** [[paper]](https://openreview.net/pdf?id=CF-ZIuSMXRz)

[ICML 2021] **RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting** [[paper]](http://proceedings.mlr.press/v139/pal21b.html)

### Method

[CIKM 2021] **DynSTGAT: Dynamic Spatial-Temporal Graph Attention Network for Traffic Signal Control** [[paper]](https://dl.acm.org/doi/abs/10.1145/3459637.3482254)

[KDD 2021] **ST-Norm: Spatial and Temporal Normalization for Multi-variate Time Series Forecasting** [[paper]](https://dl.acm.org/doi/10.1145/3447548.3467330)

[KDD 2021] **Quantifying Uncertainty in Deep Spatiotemporal Forecasting** [[paper]](https://dl.acm.org/doi/abs/10.1145/3447548.3467325)

[ICLR 2021] **Spatio-Temporal Graph Scattering Transform** [[paper]](https://arxiv.org/abs/2012.03363)

[TKDE 2021] **Learning Dynamics and Heterogeneity of Spatial-Temporal Graph Data for Traffic Forecasting** [[paper]](https://ieeexplore.ieee.org/abstract/document/9346058)

[WWW 2021] **AutoSTG: Neural Architecture Search for Predictions of Spatio-Temporal Graph** [[paper]](https://dl.acm.org/doi/abs/10.1145/3442381.3449816)

[NeurIPS 2021] **Discovering Dynamic Salient Regions for Spatio-Temporal Graph Neural Networks** [[paper]](https://openreview.net/forum?id=2E4AT-qj3Dg)

### Application

[Neurocomputing 2021] **AST-GNN: An attention-based spatio-temporal graph neural network for Interaction-aware pedestrian trajectory prediction** [[paper]](https://www.sciencedirect.com/science/article/abs/pii/S092523122100388X)

[AAAI 2021] **Multi-Scale Spatial Temporal Graph Convolutional Network for Skeleton-Based Action Recognition** [[paper]](https://ojs.aaai.org/index.php/AAAI/article/view/16197)

[AAAI 2021] **Spatiotemporal Graph Neural Network Based Mask Reconstruction for Video Object Segmentation** [[paper]](https://ojs.aaai.org/index.php/AAAI/article/view/16307)

[AAAI 2021] **Graph and Temporal Convolutional Network for Spatio-Temporal 3D Multi-Person Pose Estimation in Monocular Videos** [[paper]](https://ojs.aaai.org/index.php/AAAI/article/view/16202)

[IJCAI 2021] **Spatial-Temporal Sequential Hypergraph Network for Crime Prediction with Dynamic Multiplex Relation Learning** [[paper]](https://www.ijcai.org/proceedings/2021/0225.pdf)

[NeurIPS 2021] **Dynamic COVID risk assessment accounting for community virus exposure from a spatial-temporal transmission model** [[paper]](https://openreview.net/forum?id=jK9Hy4qJsB)

## Year 2020 and before

### Model

[WWW 2020] **Traffic Flow Prediction via Spatial Temporal Graph Neural Network** [[paper]](https://dl.acm.org/doi/abs/10.1145/3366423.3380186)

[AAAI 2020] **Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting** [[paper]](https://ojs.aaai.org/index.php/AAAI/article/view/5438)

[KDD 2020] **Preserving Dynamic Attention for Long-Term Spatial-Temporal Prediction** [[paper]](https://dl.acm.org/doi/abs/10.1145/3394486.3403046)

[KDD 2020] **Curb-GAN: Conditional Urban Traffic Estimation through Spatio-Temporal Generative Adversarial Networks** [[paper]](https://dl.acm.org/doi/abs/10.1145/3394486.3403127)

[AAAI 2020] **Spatio-Temporal Graph Structure Learning for Traffic Forecasting** [[paper]](https://ojs.aaai.org/index.php/AAAI/article/view/5470)

[Access 2020] **STGAT: Spatial-Temporal Graph Attention Networks for Traffic Flow Forecasting** [[paper]](https://ieeexplore.ieee.org/abstract/document/9146162)

[Access 2020] **Dynamic Spatio-Temporal Graph-Based CNNs for Traffic Flow Prediction** [[paper]](https://ieeexplore.ieee.org/abstract/document/9207934)

[IJCAI 2019] **Graph WaveNet for Deep Spatial-Temporal Graph Modeling** [[paper]](https://arxiv.org/abs/1906.00121)[[code]](https://github.com/ nnzhan/Graph-WaveNet)

[AAAI 2019] **Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting** [[paper]](https://ojs.aaai.org/index.php/AAAI/article/view/3881)

[AAAI 2019] **Dynamic Spatial-Temporal Graph Convolutional Neural Networks for Traffic Forecasting** [[paper]](https://ojs.aaai.org/index.php/AAAI/article/view/3881)

[IJCAI 2018] **Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting** [[paper]](https://arxiv.org/abs/1709.04875)

### Method

[AAAI 2020] **Mining Unfollow Behavior in Large-Scale Online Social Networks via Spatial-Temporal Interaction** [[paper]](https://ojs.aaai.org/index.php/AAAI/article/view/5358)

[KDD 2020] **AutoST: Efficient Neural Architecture Search for Spatio-Temporal Prediction** [[paper]](https://dl.acm.org/doi/abs/10.1145/3394486.3403122)

[KDD 2020] **Hybrid Spatio-Temporal Graph Convolutional Network: Improving Traffic Prediction with Navigation Data** [[paper]](https://dl.acm.org/doi/abs/10.1145/3394486.3403358)

[arxiv 2020] **Bayesian Spatio-Temporal Graph Convolutional Network for Traffic Forecasting** [[paper]](https://arxiv.org/abs/2010.07498)

[ICLR 2019] **Spatio-Temporal Deep Graph Infomax** [[paper]](https://arxiv.org/abs/1904.06316)

### Application

[AAAI 2020] **STEP: Spatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits** [[paper]](https://ojs.aaai.org/index.php/AAAI/article/view/5490)

[CVPR 2020] **Spatial-Temporal Graph Convolutional Network for Video-Based Person Re-Identification** [[paper]](https://ojs.aaai.org/index.php/aaai/article/view/12328)

[KDD 2020] **ConSTGAT: Contextual Spatial-Temporal Graph Attention Network for Travel Time Estimation at Baidu Maps** [[paper]](https://dl.acm.org/doi/abs/10.1145/3394486.3403320)

[MM 2019] **Video Relation Detection with Spatio-Temporal Graph** [[paper]](https://dl.acm.org/doi/abs/10.1145/3343031.3351058)

[AAAI 2018] **Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition** [[paper]](https://ojs.aaai.org/index.php/aaai/article/view/12328)

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