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JiuTian·Chuanliu: A Large Spatiotemporal Model for General-purpose Dynamic Urban Sensing
2 references·0 citing·11 second hopsampled
JiuTian·Chuanliu: A Large Spatiotemporal Model for General-purpose Dynamic Urban Sensing (2025)JiuTian·Chuanliu: A Large Spatiotemporal …Multi-Graph Fusion Networks for Urban Region Embedding (2022)Multi-Graph Fusion Networks f…Region Representation Learning via Mobility Flow (2017)Region Representation Learnin…Measuring social functions of city regions from large-scale taxi behaviors (2011)Discovering regions of different functions in a city using human mobility and POIs (2012)Land-Use Classification Using Taxi GPS Traces (2012)DeepMove (2018)Learning from Multiple Cities: A Meta-Learning Approach for Spatial-Temporal Prediction (2019)Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network (2021)Representing Urban Functions through Zone Embedding with Human Mobility Patterns (2018)Efficient Region Embedding with Multi-View Spatial Networks: A Perspective of Locality-Constrained Spatial Autocorrelations (2019)A Spatial and Adversarial Representation Learning Approach for Land Use Classification with POIs (2023)Urban Region Embedding via Multi-View Contrastive Prediction (2024)Urban region representation learning with human trajectories: a multi-view approach incorporating transition, spatial, and temporal perspectives (2024)
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References

  • 2017Region Representation Learning via Mobility Flow121 cited
  • 2022Multi-Graph Fusion Networks for Urban Region Embedding57 cited

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