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USC-InfoLab
NeuroGNN USC-InfoLab
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mit
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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, semanti...
ml eeg gnn w4h gnns brain pakdd health python pakdd-24 healthcare correlations dynamic-gnns neuroscience bioinformatics machine-learning seizure-detection disease-prediction graph-neural-networks seizure-classification
Created 2023-05-22
51 commits to main branch, last one 3 months ago