Home Technical Report Software Datasets Demo Manifold Regularization is a family of learning algorithms based on a new form of regularization with which both labeled and unlabeled data can be incorporated in a general purpose learner. Transductive Graph Learning algorithms and standard methods like SVM and Regularized Least Squares can be obtained as special cases of this framework.