<ul><li>Alzheimer's Disease is a common form of dementia that causes memory, reasoning, and behavior decline.</li><li>Researchers have utilized EEG data to identify biomarkers for diagnosing Alzheimer's Disease.</li><li>A Flexible and Explainable Gated Graph Convolutional Network (GGCN) was proposed for classification.</li><li>The research achieved high efficacy in distinguishing Alzheimer's patients and healthy individuals.</li></ul>

Flexible and Explainable Graph Analysis for EEG-based Alzheimer's Disease Classification

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