Deep Learning, Artificial Intelligence, Self Supervised Learning, Semi Supervised Learning, Graph Laplacian.
t+1, ~Yu(t+1), are assigned to unlabeled data, i.e. label propagation. For labeled data, they are assigned as Y(0)l, i.e. the ground-truth labels. where Y(0)={y1, .., yn} is the initial label matrix. ~Y(t+1) is the soft label matrix at iteration t+1. Effectively, in brief, k-NN to get some near