TAHAG-master

This repo provides a Pytorch implementation demo for the "TAHAG: Two-Stage Domain Adaptation with Hybrid Adaptive Graph Learning for EEG Emotion Recognition" on the SEED-IV dataset.

Requirmenets:

• Python 3.7
• torch 1.7.1
• pandas 1.3.5
• numpy 1.21.5

Datasets:

You should first prepare dataset under directory. SEED series.