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Spatio-Temporal Forecasting

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Showing 1–50 of 87 papers

TitleStatusHype
ZAPBench: A Benchmark for Whole-Brain Activity Prediction in ZebrafishCode2
FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic PredictionCode2
Spatio-Temporal Self-Supervised Learning for Traffic Flow PredictionCode2
LibCity: An Open Library for Traffic PredictionCode2
CausalMob: Causal Human Mobility Prediction with LLMs-derived Human Intentions toward Public EventsCode1
Expand and Compress: Exploring Tuning Principles for Continual Spatio-Temporal Graph ForecastingCode1
ImageFlowNet: Forecasting Multiscale Image-Level Trajectories of Disease Progression with Irregularly-Sampled Longitudinal Medical ImagesCode1
Multi-Modality Spatio-Temporal Forecasting via Self-Supervised LearningCode1
Does Vector Quantization Fail in Spatio-Temporal Forecasting? Exploring a Differentiable Sparse Soft-Vector Quantization ApproachCode1
FRIGATE: Frugal Spatio-temporal Forecasting on Road NetworksCode1
Operator Learning with Neural Fields: Tackling PDEs on General GeometriesCode1
Graph-based Multi-ODE Neural Networks for Spatio-Temporal Traffic ForecastingCode1
Dynamic Causal Explanation Based Diffusion-Variational Graph Neural Network for Spatio-temporal ForecastingCode1
Weather2K: A Multivariate Spatio-Temporal Benchmark Dataset for Meteorological Forecasting Based on Real-Time Observation Data from Ground Weather StationsCode1
STDEN: Towards Physics-Guided Neural Networks for Traffic Flow PredictionCode1
Prediction-based One-shot Dynamic Parking PricingCode1
Spatio-Temporal Wind Speed Forecasting using Graph Networks and Novel Transformer ArchitecturesCode1
Long-term Spatio-temporal Forecasting via Dynamic Multiple-Graph AttentionCode1
Learning the Dynamics of Physical Systems from Sparse Observations with Finite Element NetworksCode1
Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Traffic Forecasting across CitiesCode1
Graph Neural Controlled Differential Equations for Traffic ForecastingCode1
Deep Spatio-Temporal Forecasting of Electrical Vehicle Charging DemandCode1
RNN with Particle Flow for Probabilistic Spatio-temporal ForecastingCode1
Cross-Node Federated Graph Neural Network for Spatio-Temporal Data ModelingCode1
Conditional Local Convolution for Spatio-temporal Meteorological ForecastingCode1
Enhanced spatio-temporal electric load forecasts using less data with active deep learningCode1
Graph Neural Networks for Improved El Niño ForecastingCode1
Multivariate Time-series Anomaly Detection via Graph Attention NetworkCode1
Adaptive Graph Convolutional Recurrent Network for Traffic ForecastingCode1
A Spatio-Temporal Spot-Forecasting Framework for Urban Traffic PredictionCode1
Spatiotemporal Multi-Graph Convolution Networkfor Ride-hailing Demand ForecastingCode1
Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic ForecastingCode1
Beyond Attention: Learning Spatio-Temporal Dynamics with Emergent Interpretable Topologies—0
Learning with Calibration: Exploring Test-Time Computing of Spatio-Temporal Forecasting—0
DRAN: A Distribution and Relation Adaptive Network for Spatio-temporal Forecasting—0
Bilinear Spatiotemporal Fusion Network: An efficient approach for traffic flow predictionCode0
Beyond Fixed Variables: Expanding-variate Time Series Forecasting via Flat Scheme and Spatio-temporal Focal Learning—0
Temporal Graph MLP Mixer for Spatio-Temporal ForecastingCode0
Spatio-Temporal Forecasting of PM2.5 via Spatial-Diffusion guided Encoder-Decoder ArchitectureCode0
Infinite-dimensional next-generation reservoir computingCode0
Distribution-aware Online Continual Learning for Urban Spatio-Temporal Forecasting—0
GEPS: Boosting Generalization in Parametric PDE Neural Solvers through Adaptive Conditioning—0
Sparse Decomposition of Graph Neural Networks—0
AutoSTF: Decoupled Neural Architecture Search for Cost-Effective Automated Spatio-Temporal Forecasting—0
Reprogramming Foundational Large Language Models(LLMs) for Enterprise Adoption for Spatio-Temporal Forecasting Applications: Unveiling a New Era in Copilot-Guided Cross-Modal Time Series Representation Learning—0
Language Model Empowered Spatio-Temporal Forecasting via Physics-Aware Reprogramming—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
Geolocation Representation from Large Language Models are Generic Enhancers for Spatio-Temporal LearningCode0
REGIONAL DATASETS FOR AIR QUALITY MONITORING IN EUROPEAN CITIESCode0
Spatiotemporal Forecasting of Traffic Flow using Wavelet-based Temporal AttentionCode0
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