The implementation of "TimesURL: Self-supervised Contrastive Learning for Universal Time Series Representation Learning"

A deep learning framework for physiological data processing and understanding.

Exploring Brain Connectivity with Spatial-Temporal Graph Neural Networks for Improved EEG Seizure Analysis

Resources for Book: Deep Learning for EEG-based Brain-Computer Interface: Representations, Algorithms and Applications

A Systematic Review: Self-Supervised Contrastive Learning for Medical Time Series

Self-supervised contrastive learning for time series via time-frequency consistency

Seizure Event Detection using minimum electrodes

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Ethereal Style for Zotero

Python implementation of Self-Supervised Learning for Anomalous Channel Detection in EEG Graphs: Application to Seizure Analysis

A library for graph deep learning research

Must-read papers on graph neural networks (GNN)