/EEG-GNNTrans

Python implementation of Self-Supervised Learning for Anomalous Channel Detection in EEG Graphs: Application to Seizure Analysis

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EEG-CGS

Python implementation of Self-Supervised Learning for Anomalous Channel Detection in EEG Graphs: Application to Seizure Analysis

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Citation

Please cite our paper if you intend to use our code or results.

@article{https://doi.org/10.48550/arxiv.2208.07448,
  doi = {10.48550/ARXIV.2208.07448},
  url = {https://arxiv.org/abs/2208.07448},
  author = {Ho, Thi Kieu Khanh and Armanfard, Narges},
  title = {Self-Supervised Learning for Anomalous Channel Detection in EEG Graphs: Application to Seizure Analysis},
  publisher = {Proceedings of the AAAI Conference on Artificial Intelligence 37},
  year = {2023}
}