NeuroGNN is a state-of-the-art framework for precise seizure detection and classification from EEG data. It employs dynamic Graph Neural Networks (GNNs) to capture intricate spatial, temporal, semantic, and taxonomic correlations between EEG electrode locations and brain regions, resulting in improved accuracy. Presented at PAKDD '24.
License: MIT License
hi i was trying to run the original author work using the kaggle dataset but while pre-processing some 800 files failed for me , does it happen with you too?
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