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forked from XDZhelheim/HimNet

[KDD'24] Official code for our paper "Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting".

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Performance on Spatiotemporal Forecasting Benchmarks

HimNet-table-03

Required Packages

pytorch>=1.12
numpy
pandas
matplotlib
pyyaml
torchinfo

Training Commands

cd scripts/
python train.py -d <dataset> -g <gpu_id>

<dataset>:

  • METRLA
  • PEMSBAY
  • PEMS03
  • PEMS04
  • PEMS07
  • PEMS08

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[KDD'24] Official code for our paper "Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting".

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  • Python 99.8%
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