Arrhythmia Classification Using Graph Neural Networks Based on Correlation Matrix
The episode discusses a paper titled "Arrhythmia Classification Using Graph Neural Networks Based on Correlation Matrix." The hosts explain how the researchers used a correlation matrix to build a graph structure from ECG features, which is then fed into a GraphSAGE model for arrhythmia classification. They conclude that this approach offers improved balance across classes and enhanced model interpretability compared to traditional deep learning methods.