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Found 3 papers, 1 papers with code
Minimalist Traffic Prediction: Linear Layer Is All You Need
Traffic prediction is essential for the progression of Intelligent Transportation Systems (ITS) and the vision of smart cities.
Localised Adaptive Spatial-Temporal Graph Neural Network
Spatial-temporal graph models are prevailing for abstracting and modelling spatial and temporal dependencies.
Combating Distribution Shift for Accurate Time Series Forecasting via Hypernetworks
In this paper, we propose Hyper Time- Series Forecasting (HTSF), a hypernetwork-based framework for accurate time series forecasting under distribution shift.
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