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Spatio-Temporal Forecasting

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Showing 26–50 of 87 papers

TitleStatusHype
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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