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Author

Ye Yuan

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Conference Open access Sep 2026

Patient-Visit-Spanned Hypergraph Learning for EHR-based Diagnosis Prediction

Hypergraphs effectively model complex interactions in structured Electronic Health Records (EHR). Consequently, Hypergraph Neural Networks (HGNNs) are commonly applied to EHR-based diagnosis prediction. However, existing HGNNs struggle to capture patient-visit long-range dependencies when processing EHR-derived hypergr...

Ye Yuan, Hai-Yan Wang, Lun Hu et al. · 0 citations
#graph neural networks Sep 2026

An Edge-Deployable Lightweight Dynamic Spatio-Temporal Graph Neural Network for Joint Distribution-Network Line-Loss Prediction and Operating-State Recognition

A lightweight dynamic spatio-temporal graph neural network, EdgeLite-DSTGNN, is proposed to address the intensified spatio-temporal coupling of line-loss rates, complex state correlations, and limited edge-terminal resources in distribution networks with high renewable-energy penetration. The method treats branches as...

Hai-Yan Wang, Ye Yuan, Xin-Ping Yuan et al. · 0 citations

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