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Spatio-Temporal Forecasting

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Showing 1–50 of 87 papers

TitleStatusHype
LibCity: An Open Library for Traffic PredictionCode2
Spatio-Temporal Self-Supervised Learning for Traffic Flow PredictionCode2
FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic PredictionCode2
ZAPBench: A Benchmark for Whole-Brain Activity Prediction in ZebrafishCode2
Spatio-Temporal Wind Speed Forecasting using Graph Networks and Novel Transformer ArchitecturesCode1
Graph-based Multi-ODE Neural Networks for Spatio-Temporal Traffic ForecastingCode1
Graph Neural Controlled Differential Equations for Traffic ForecastingCode1
Graph Neural Networks for Improved El Niño ForecastingCode1
Deep Spatio-Temporal Forecasting of Electrical Vehicle Charging DemandCode1
Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic ForecastingCode1
ImageFlowNet: Forecasting Multiscale Image-Level Trajectories of Disease Progression with Irregularly-Sampled Longitudinal Medical ImagesCode1
Enhanced spatio-temporal electric load forecasts using less data with active deep learningCode1
Does Vector Quantization Fail in Spatio-Temporal Forecasting? Exploring a Differentiable Sparse Soft-Vector Quantization ApproachCode1
Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Traffic Forecasting across CitiesCode1
Learning the Dynamics of Physical Systems from Sparse Observations with Finite Element NetworksCode1
Weather2K: A Multivariate Spatio-Temporal Benchmark Dataset for Meteorological Forecasting Based on Real-Time Observation Data from Ground Weather StationsCode1
Dynamic Causal Explanation Based Diffusion-Variational Graph Neural Network for Spatio-temporal ForecastingCode1
Long-term Spatio-temporal Forecasting via Dynamic Multiple-Graph AttentionCode1
Spatiotemporal Multi-Graph Convolution Networkfor Ride-hailing Demand ForecastingCode1
RNN with Particle Flow for Probabilistic Spatio-temporal ForecastingCode1
Multi-Modality Spatio-Temporal Forecasting via Self-Supervised LearningCode1
Multivariate Time-series Anomaly Detection via Graph Attention NetworkCode1
Prediction-based One-shot Dynamic Parking PricingCode1
Operator Learning with Neural Fields: Tackling PDEs on General GeometriesCode1
CausalMob: Causal Human Mobility Prediction with LLMs-derived Human Intentions toward Public EventsCode1
Adaptive Graph Convolutional Recurrent Network for Traffic ForecastingCode1
Conditional Local Convolution for Spatio-temporal Meteorological ForecastingCode1
Expand and Compress: Exploring Tuning Principles for Continual Spatio-Temporal Graph ForecastingCode1
Cross-Node Federated Graph Neural Network for Spatio-Temporal Data ModelingCode1
A Spatio-Temporal Spot-Forecasting Framework for Urban Traffic PredictionCode1
FRIGATE: Frugal Spatio-temporal Forecasting on Road NetworksCode1
STDEN: Towards Physics-Guided Neural Networks for Traffic Flow PredictionCode1
Spatio-temporal Parking Behaviour Forecasting and Analysis Before and During COVID-19—0
A data-driven approach to the forecasting of ground-level ozone concentration—0
Advancing Enterprise Spatio-Temporal Forecasting Applications: Data Mining Meets Instruction Tuning of Language Models For Multi-modal Time Series Analysis in Low-Resource Settings—0
An Ensemble Quadratic Echo State Network for Nonlinear Spatio-Temporal Forecasting—0
AutoSTF: Decoupled Neural Architecture Search for Cost-Effective Automated Spatio-Temporal Forecasting—0
Bayesian Recurrent Neural Network Models for Forecasting and Quantifying Uncertainty in Spatial-Temporal Data—0
Beyond Attention: Learning Spatio-Temporal Dynamics with Emergent Interpretable Topologies—0
Beyond Fixed Variables: Expanding-variate Time Series Forecasting via Flat Scheme and Spatio-temporal Focal Learning—0
Bridging the Gap Between Training and Inference for Spatio-Temporal Forecasting—0
CGT: Clustered Graph Transformer for Urban Spatio-temporal Prediction—0
Deep Echo State Networks with Uncertainty Quantification for Spatio-Temporal Forecasting—0
Deep learning for spatio-temporal forecasting -- application to solar energy—0
Distribution-aware Online Continual Learning for Urban Spatio-Temporal Forecasting—0
DRAN: A Distribution and Relation Adaptive Network for Spatio-temporal Forecasting—0
DynST: Dynamic Sparse Training for Resource-Constrained Spatio-Temporal Forecasting—0
Language Model Empowered Spatio-Temporal Forecasting via Physics-Aware Reprogramming—0
Enhancing Graph U-Nets for Mesh-Agnostic Spatio-Temporal Flow Prediction—0
Examining Deep Learning Models with Multiple Data Sources for COVID-19 Forecasting—0
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