Efficient Semi-supervised Fréchet Regression for Non-Euclidean Responses

This paper proposes two novel semi-supervised Fréchet regression methods, semi-supervised Nadaraya-Watson (NW) Fréchet regression and semi-supervised k-nearest neighbor (kNN) Fréchet regression, which leverage graph distances to effectively model the regression relationship between Euclidean predictors and non-Euclidean responses when limited labeled data is available.