2026
Lightweight Transformer for EEG Classification via Balanced Signed Graph Algorithm Unrolling
ICLR 2026poster
Samples of brain signals collected by EEG sensors have inherent anti-correlations that are well modeled by negative edges in a finite graph. To differentiate epilepsy patients from healthy subjects using collected EEG signals, we build lightweight and interpretable transformer-like neural nets by…