GitHub - NeuroNML/NeuroGraphNet: A graph-based deep learning model for EEG seizure detection, leveraging Graph Neural Networks (GNNs) to improve accuracy and interpretability · GitHub

Name		Name	Last commit message	Last commit date
.checkpoints		.checkpoints
.submissions		.submissions
assets		assets
data		data
docs		docs
scripts		scripts
src		src
submissions		submissions
.DS_Store		.DS_Store
.gitignore		.gitignore
data-analysis.ipynb		data-analysis.ipynb
environment.yml		environment.yml
example_timeseries_caching.py		example_timeseries_caching.py
feature_extraction.py		feature_extraction.py
feature_extraction_v2.py		feature_extraction_v2.py
neuro-eeg.ipynb		neuro-eeg.ipynb
requirements.txt		requirements.txt
test_timeseries_caching.py		test_timeseries_caching.py

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A graph-based deep learning model for EEG seizure detection, leveraging Graph Neural Networks (GNNs) to improve accuracy and interpretability

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