mlsanityData to 7 Oct 2026

Generative Adversarial Networks for Spatio-temporal Data: A Survey

arXiv 2008.08903 ↗First posted 18 Aug 2020cs.LG cs.IR eess.IVcited by 35

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Abstract (arXiv)

Generative Adversarial Networks (GANs) have shown remarkable success in producing realistic-looking images in the computer vision area. Recently, GAN-based techniques are shown to be promising for spatio-temporal-based applications such as trajectory prediction, events generation and time-series data imputation. While several reviews for GANs in computer vision have been presented, no one has considered addressing the practical applications and challenges relevant to spatio-temporal data. In this paper, we have conducted a comprehensive review of the recent developments of GANs for spatio-temporal data. We summarise the application of popular GAN architectures for spatio-temporal data and the common practices for evaluating the performance of spatio-temporal applications with GANs. Finally, we point out future research directions to benefit researchers in this area.

Key facts. Cited by 35 papers in the map (data through 7 Oct 2026). First posted on arXiv 18 Aug 2020.

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Citing papers per year: 2021: 5; 2022: 3; 2023: 9; 2024: 7; 2025: 5; 2026: 6.

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  1. 2023Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Surveycited by 140
  2. 2024UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Predictioncited by 86
  3. 2022Data Augmentation techniques in time series domain: A survey and taxonomycited by 41
  4. 2024Deep Learning for Cross-Domain Data Fusion in Urban Computing: Taxonomy, Advances, and Outlookcited by 33
  5. 2022Beyond Just Vision: A Review on Self-Supervised Representation Learning on Multimodal and Temporal Datacited by 27
  6. 2024Trajectory Data Management and Mining: A Survey from Deep Learning to the LLM Eracited by 23
  7. 2023Traffic Prediction using Artificial Intelligence: Review of Recent Advances and Emerging Opportunitiescited by 16
  8. 2021Spatiotemporal Data Mining: A Survey on Challenges and Open Problemscited by 13
  9. 2025Machine learning for modelling unstructured grid data in computational physics: a reviewcited by 12
  10. 2023Transformer-based Generative Adversarial Networks in Computer Vision: A Comprehensive Surveycited by 10
  11. 2023Because Every Sensor Is Unique, so Is Every Pair: Handling Dynamicity in Traffic Forecastingcited by 9
  12. 2021Game of GANs: Game-Theoretical Models for Generative Adversarial Networkscited by 6
23 more
  1. 2023Graph Neural Network for spatiotemporal data: methods and applicationscited by 6
  2. 2024AIGC for Industrial Time Series: From Deep Generative Models to Large Generative Modelscited by 6
  3. 2022A Graph and Attentive Multi-Path Convolutional Network for Traffic Predictioncited by 5
  4. 2021Synthetic flow-based cryptomining attack generation through Generative Adversarial Networkscited by 4
  5. 2023GAT-GAN : A Graph-Attention-based Time-Series Generative Adversarial Networkcited by 3
  6. 2021Adversarial Machine Learning in Text Analysis and Generationcited by 2
  7. 2024Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelitycited by 2
  8. 2026Learning to Factorize and Adapt: A Versatile Approach Toward Universal Spatio-Temporal Foundation Modelscited by 2
  9. 2021Improving the quality of generative models through Smirnov transformationcited by 1
  10. 2023Spatio-Temporal Contrastive Self-Supervised Learning for POI-level Crowd Flow Inferencecited by 1
  11. 2024Neural Click Models for Recommender Systemscited by 1
  12. 2025From Narrative to Action: A Hierarchical LLM-Agent Framework for Human Mobility Generationcited by 1
  13. 2026UrbanFM: Scaling Urban Spatio-Temporal Foundation Modelscited by 1
  14. 2026PnP-Corrector: A Universal Correction Framework for Coupled Spatiotemporal Forecastingcited by 1
  15. 2023Towards Climate Variable Prediction with Conditioned Spatio-Temporal Normalizing Flowscited by 0
  16. 2023Auto-encoding GPS data to reveal individual and collective behaviourcited by 0
  17. 2024ST-DPGAN: A Privacy-preserving Framework for Spatiotemporal Data Generationcited by 0
  18. 2025NeuralPrefix: A Zero-shot Sensory Data Imputation Plugincited by 0
  19. 2025Collaborative Deterministic-Probabilistic Forecasting for Diverse Spatiotemporal Systemscited by 0
  20. 2025GeoMAE: Masking Representation Learning for Spatio-Temporal Graph Forecasting with Missing Valuescited by 0
  21. 2026Enhancing Imbalanced Electrocardiogram Classification: A Novel Approach Integrating Data Augmentation through Wavelet Transform and Interclass Fusioncited by 0
  22. 2026Synthetic Time Series Generation via Complex Networkscited by 0
  23. 2026Learning Spatio-Temporal Foundation Models from Pure Synthetic Datacited by 0