id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
fcis-29531	Yu, Xin; Zhang, Mohan; Li, Jiayao; Wang, Xinrui; Jin, Shumin; Li, Qian	Graph Neural Network Graph Embedding Optimization Method for Vascular Stress Prediction	2025	4	.pdf	application/pdf	3858	129	33	Focus on the study of the influence of blood vessel bending degree, fix other geometric and physical parameters of blood vessels, generate blood vessel model data sets with different bending degrees by adjusting the bending radius and bending angle of blood vessels, and then investigate the mechanism of bending on blood vessel stress. With the rapid development of machine learning technology, especially graph neural network, it is possible to construct an efficient reduced-order model for vascular stress prediction, which is also the core goal of this study.	cache/fcis-29531.pdf	txt/fcis-29531.txt