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.
[ICML 2023] Continuous Spatiotemporal Transformer [paper]
[KDD 2023] Localised Adaptive Spatial-Temporal Graph Neural Network [paper]
[KDD 2023] Spatial Heterophily Aware Graph Neural Networks [paper]
[KDD 2023] Graph Neural Processes for Spatio-Temporal Extrapolation [paper]
[KDD 2023] FRIGATE: Frugal Spatio-temporal Forecasting on Road Networks [paper]
[arxiv 2023] Attention-based Spatial-Temporal Graph Convolutional Recurrent Networks for Traffic Forecasting [paper]
[arxiv 2023] Dynamic Graph Convolution Network with Spatio-Temporal Attention Fusion for Traffic Flow Prediction [paper]
[ICLR 2023] TILP: Differentiable Learning of Temporal Logical Rules on Knowledge Graphs [paper]
[AAAI 2023] Spatio-Temporal Meta-Graph Learning for Traffic Forecasting [paper]
[AAAI 2023] Easy Begun is Half Done: Spatial-Temporal Graph Modeling with ST-Curriculum Dropout [paper]
[AAAI 2023] Spatio-Temporal Graph Neural Point Process for Traffic Congestion Event Prediction
[AAAI 2023] Scalable Spatiotemporal Graph Neural Networks [paper]
[ICML 2023] Neural Wave Machines: Learning Spatiotemporally Structured Representations with Locally Coupled Oscillatory Recurrent Neural Networks [paper]
[ICML 2023] Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation [paper]
[KDD 2023] ST-iFGSM: Enhancing Robustness of Human Mobility Signature Identification Model via Spatial-Temporal Iterative FGSM [paper]
[KDD 2023] Causal Effect Estimation on Hierarchical Spatial Graph Data
[KDD 2023] **Robust Spatiotemporal Traffic Forecasting with Reinforced Dynamic Adversarial Training **[paper]
[KDD 2023] Generative Causal Interpretation Model for Spatio-Temporal Representation Learning [paper]
[KDD 2023] Maintaining the Status Quo: Capturing Invariant Relations for OOD Spatiotemporal Learning [paper]
[KDD 2023] On Hierarchical Disentanglement of Interactive Behaviors for Multimodal Spatiotemporal Data with Incompleteness [paper]
[ICLR 2023] Do We Really Need Complicated Model Architectures For Temporal Networks? [paper]
[ICLR 2023] TOWARDS OPEN TEMPORAL GRAPH NEURAL NETWORKS [paper]
[ICLR 2023] Explaining Temporal Graph Models through an Explorer-Navigator Framework [paper]
[AAAI 2023] Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction [paper]
[AAAI 2023] Revisiting the Spatial and Temporal Modeling for Few-shot Action Recognition [paper]
[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]
[arxiv 2023] Do We Really Need Graph Neural Networks for Traffic Forecasting? [paper]
[TMLR 2023] Understanding and Simplifying Architecture Search in Spatio-Temporal Graph Neural Networks[paper]
[KDD 2023] A Data-driven Region Generation Framework for Spatiotemporal Transportation Service Management [paper]
[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]
[arxiv 2023] Graph Neural Rough Differential Equations for Traffic Forecasting [paper]
[AAAI 2023] Spatiotemporal Deformation Perception for Fisheye Video Rectification [paper]
[AAAI 2023] Spatio-temporal Neural Structural Causal Models for Bike Flow Prediction [paper]
[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]
[ICML 2022] DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting [paper]
[ICML 2022] pathGCN: Learning General Graph Spatial Operators from Paths [paper]
[KDD 2022] Mining Spatio-Temporal Relations via Self-Paced Graph Contrastive Learning [paper]
[KDD 2022] MSDR: Multi-Step Dependency Relation Networks for Spatial Temporal Forecasting [paper]
[NeurIPS 2022] Dynamic Graph Neural Networks Under Spatio-Temporal Distribution Shift [paper]
[TITS 2022] KST-GCN: A Knowledge-Driven Spatial-Temporal Graph Convolutional Network for Traffic Forecasting [paper]
[VLDB 2022] Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting [paper]
[TVT 2022] FDSA-STG: Fully Dynamic Self-Attention Spatio-Temporal Graph Networks for Intelligent Traffic Flow Prediction [paper]
[KDD 2022] Spatio-Temporal Trajectory Similarity Learning in Road Networks [paper]
[KDD 2022] Spatio-Temporal Graph Few-Shot Learning with Cross-City Knowledge Transfer [paper]
[KDD 2022] Pre-training Enhanced Spatial-temporal Graph Neural Network for Multivariate Time Series Forecasting [paper]
[SIGSPATIAL 2022] When Do Contrastive Learning Signals Help Spatio-Temporal Graph Forecasting? [paper]
[NeurIPS 2022] AutoST: Towards the Universal Modeling of Spatio-temporal Sequences [paper]
[NeurIPS 2022] Searching for Better Spatio-temporal Alignment in Few-Shot Action Recognition [paper]
[NeurIPS 2022] Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations [paper]
[NeurIPS 2022] Practical Adversarial Attacks on Spatiotemporal Traffic Forecasting Models [paper]
[NeurIPS 2022] AZ-whiteness test: a test for signal uncorrelation on spatio-temporal graphs [paper]
[NeurIPS 2022] Multivariate Time-Series Forecasting with Temporal Polynomial Graph Neural Networks [paper]
[KBS 2022] Adaptive Spatio-temporal Graph Neural Network for traffic forecasting [paper]
[arxiv 2022] STGIN: A Spatial Temporal Graph-Informer Network for Long Sequence Traffic Speed Forecasting [paper]
[MDPI 2022] A Spatio-Temporal Graph Neural Network Approach for Traffic Flow Prediction [paper]
[AAAI 2022] Temporal Knowledge Graph Completion Using Box Embeddings [paper]
[AAAI 2022] Disentangled Spatiotemporal Graph Generative Model [paper]
[AAAI 2022] TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs [paper]
[ICLR 2022] TAMP-S2GCNets: Coupling Time-Aware Multipersistence Knowledge Representation with Spatio-Supra Graph Convolutional Networks for Time-Series Forecasting [paper]
[ICLR 2022] Learning to Remember Patterns: Pattern Matching Memory Networks for Traffic Forecasting [paper]
[AAAI 2022] Conditional Local Convolution for Spatio-Temporal Meteorological Forecasting [paper]
[IJCAI 2022] Modeling Spatio-temporal Neighbourhood for Personalized Point-of-interest Recommendation [paper]
[IJCAI 2022] Long-term Spatio-Temporal Forecasting via Dynamic Multiple-Graph Attention [paper]
[KDD 2022] Recommendation in Offline Stores: A Gamification Approach for Learning the Spatiotemporal Representation of Indoor Shopping [paper]
[KDD 2022] Graph2Route: A Dynamic Spatial-Temporal Graph Neural Network for Pick-up and Delivery Route Prediction [paper]
[KDD 2022] Uncertainty Quantification of Sparse Travel Demand Prediction with Spatial-Temporal Graph Neural Networks [paper]
[ICDE 2022] Spatial-Temporal Hypergraph Self-Supervised Learning for Crime Prediction [paper]
[AAAI 2021] Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network [paper]
[KDD 2021] Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting [paper]
[KDD 2021] Dynamic and Multi-faceted Spatio-temporal Deep Learning for Traffic Speed Forecasting [paper]
[KDD 2021] Cross-Node Federated Graph Neural Network for Spatio-Temporal Data Modeling [paper]
[AAAI 2021] Spatial-Temporal Fusion Graph Neural Networks for Traffic Flow Forecasting [paper]
[AAAI 2021] FC-GAGA: Fully Connected Gated Graph Architecture for Spatio-Temporal Traffic Forecasting [paper]
[ICLR 2021] Spatio-Temporal Graph Scattering Transform [paper]
[ICML 2021] RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting [paper]
[CIKM 2021] DynSTGAT: Dynamic Spatial-Temporal Graph Attention Network for Traffic Signal Control [paper]
[KDD 2021] ST-Norm: Spatial and Temporal Normalization for Multi-variate Time Series Forecasting [paper]
[KDD 2021] Quantifying Uncertainty in Deep Spatiotemporal Forecasting [paper]
[ICLR 2021] Spatio-Temporal Graph Scattering Transform [paper]
[TKDE 2021] Learning Dynamics and Heterogeneity of Spatial-Temporal Graph Data for Traffic Forecasting [paper]
[WWW 2021] AutoSTG: Neural Architecture Search for Predictions of Spatio-Temporal Graph [paper]
[NeurIPS 2021] Discovering Dynamic Salient Regions for Spatio-Temporal Graph Neural Networks [paper]
[Neurocomputing 2021] AST-GNN: An attention-based spatio-temporal graph neural network for Interaction-aware pedestrian trajectory prediction [paper]
[AAAI 2021] Multi-Scale Spatial Temporal Graph Convolutional Network for Skeleton-Based Action Recognition [paper]
[AAAI 2021] Spatiotemporal Graph Neural Network Based Mask Reconstruction for Video Object Segmentation [paper]
[AAAI 2021] Graph and Temporal Convolutional Network for Spatio-Temporal 3D Multi-Person Pose Estimation in Monocular Videos [paper]
[IJCAI 2021] Spatial-Temporal Sequential Hypergraph Network for Crime Prediction with Dynamic Multiplex Relation Learning [paper]
[NeurIPS 2021] Dynamic COVID risk assessment accounting for community virus exposure from a spatial-temporal transmission model [paper]
[WWW 2020] Traffic Flow Prediction via Spatial Temporal Graph Neural Network [paper]
[AAAI 2020] Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting [paper]
[KDD 2020] Preserving Dynamic Attention for Long-Term Spatial-Temporal Prediction [paper]
[KDD 2020] Curb-GAN: Conditional Urban Traffic Estimation through Spatio-Temporal Generative Adversarial Networks [paper]
[AAAI 2020] Spatio-Temporal Graph Structure Learning for Traffic Forecasting [paper]
[Access 2020] STGAT: Spatial-Temporal Graph Attention Networks for Traffic Flow Forecasting [paper]
[Access 2020] Dynamic Spatio-Temporal Graph-Based CNNs for Traffic Flow Prediction [paper]
[IJCAI 2019] Graph WaveNet for Deep Spatial-Temporal Graph Modeling [paper][[code]](https://github.com/ nnzhan/Graph-WaveNet)
[AAAI 2019] Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting [paper]
[AAAI 2019] Dynamic Spatial-Temporal Graph Convolutional Neural Networks for Traffic Forecasting [paper]
[IJCAI 2018] Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting [paper]
[AAAI 2020] Mining Unfollow Behavior in Large-Scale Online Social Networks via Spatial-Temporal Interaction [paper]
[KDD 2020] AutoST: Efficient Neural Architecture Search for Spatio-Temporal Prediction [paper]
[KDD 2020] Hybrid Spatio-Temporal Graph Convolutional Network: Improving Traffic Prediction with Navigation Data [paper]
[arxiv 2020] Bayesian Spatio-Temporal Graph Convolutional Network for Traffic Forecasting [paper]
[ICLR 2019] Spatio-Temporal Deep Graph Infomax [paper]
[AAAI 2020] STEP: Spatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits [paper]
[CVPR 2020] Spatial-Temporal Graph Convolutional Network for Video-Based Person Re-Identification [paper]
[KDD 2020] ConSTGAT: Contextual Spatial-Temporal Graph Attention Network for Travel Time Estimation at Baidu Maps [paper]
[MM 2019] Video Relation Detection with Spatio-Temporal Graph [paper]
[AAAI 2018] Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition [paper]