未知流形上潜在结构网络中的半监督回归（英文版）

英文标题：Semisupervised regression in latent structure networks on unknown manifolds中文摘要：本文利用潜在位置随机图模型和流形学习与图嵌入技术，通过预测节点响应变量来了解基于一维曲线的潜在位置向量的几何学特征，并为这些响应变量建立收敛保证，同时支持 Drosophila 大脑数据的实证应用。英文摘要：Random graphs are increasingly becoming objects of interest for modelingnetworks in a wide range of applications. Latent position random graph modelsposit that each node is associated with a latent position vector, and thatthese vectors follow some geometric structure in the latent space. In thispaper, we con