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Spatio-Temporal Forecasting

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Showing 1–50 of 87 papers

TitleStatusHype
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
ZAPBench: A Benchmark for Whole-Brain Activity Prediction in ZebrafishCode2
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
CausalMob: Causal Human Mobility Prediction with LLMs-derived Human Intentions toward Public EventsCode1
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
Expand and Compress: Exploring Tuning Principles for Continual Spatio-Temporal Graph ForecastingCode1
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
ImageFlowNet: Forecasting Multiscale Image-Level Trajectories of Disease Progression with Irregularly-Sampled Longitudinal Medical ImagesCode1
M4Fog: A Global Multi-Regional, Multi-Modal, and Multi-Stage Dataset for Marine Fog Detection and Forecasting to Bridge Ocean and AtmosphereCode0
Rethinking Spatio-Temporal Transformer for Traffic Prediction:Multi-level Multi-view Augmented Learning Framework—0
STEMO: Early Spatio-temporal Forecasting with Multi-Objective Reinforcement LearningCode0
Enhancing Graph U-Nets for Mesh-Agnostic Spatio-Temporal Flow Prediction—0
FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic PredictionCode2
FLEXIBLE: Forecasting Cellular Traffic by Leveraging Explicit Inductive Graph-Based Learning—0
Multi-Modality Spatio-Temporal Forecasting via Self-Supervised LearningCode1
Low-rank Adaptation for Spatio-Temporal ForecastingCode0
Personalized Federated Learning for Spatio-Temporal Forecasting: A Dual Semantic Alignment-Based Contrastive Approach—0
DynST: Dynamic Sparse Training for Resource-Constrained Spatio-Temporal Forecasting—0
Large Language Models for Forecasting and Anomaly Detection: A Systematic Literature Review—0
Enhancing Topological Dependencies in Spatio-Temporal Graphs with Cycle Message Passing BlocksCode0
Learning Time-aware Graph Structures for Spatially Correlated Time Series Forecasting—0
Does Vector Quantization Fail in Spatio-Temporal Forecasting? Exploring a Differentiable Sparse Soft-Vector Quantization ApproachCode1
SAMSGL: Series-Aligned Multi-Scale Graph Learning for Spatio-Temporal Forecasting—0
Unleashing Realistic Air Quality Forecasting: Introducing the Ready-to-Use PurpleAirSF DatasetCode0
FRIGATE: Frugal Spatio-temporal Forecasting on Road NetworksCode1
Operator Learning with Neural Fields: Tackling PDEs on General GeometriesCode1
SERT: A Transfomer Based Model for Spatio-Temporal Sensor Data with Missing Values for Environmental MonitoringCode0
Graph-based Multi-ODE Neural Networks for Spatio-Temporal Traffic ForecastingCode1
Dynamic Causal Explanation Based Diffusion-Variational Graph Neural Network for Spatio-temporal ForecastingCode1
It is all Connected: A New Graph Formulation for Spatio-Temporal Forecasting—0
Weather2K: A Multivariate Spatio-Temporal Benchmark Dataset for Meteorological Forecasting Based on Real-Time Observation Data from Ground Weather StationsCode1
Spatio-Temporal Self-Supervised Learning for Traffic Flow PredictionCode2
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
RadNet: Incident Prediction in Spatio-Temporal Road Graph Networks Using Traffic Forecasting—0
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