Intelligent diagnosis of major depressive disorder with edge convolution and contrastive learning
收藏Figshare2026-03-12 更新2026-04-28 收录
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https://figshare.com/articles/dataset/MDD_DATASET/31679287
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资源简介：
we propose a novel deep learning framework, Graph Contrastive Learning based on Edge Convolution (EC-GCL), to analyze resting-state fMRI data from 1,160 participants, including 597 patients with MDD and 563 healthy controls. The network integrates a learnable graph augmentation in adversarial graph contrastive learning with edge convolution encoder to enhance feature extraction and classification accuracy.
创建时间：
2026-03-12
