[A model based on the graph attention network for epileptic seizure anomaly detection]
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The existing epilepsy seizure detection algorithms have problems such as overfitting and poor generalization ability due to high reliance on manual labeling of electroencephalogram's data and data imbalance between seizure and interictal periods. An unsupervi... ...
