Deep Learning, Artificial Intelligence, Self Supervised Learning, Semi Supervised Learning, Graph Laplacian.
with noisy labels as follows: where W is the symmetrically normalized Laplacian matrix that just computed, and t is the iteration number. Thus, for each estimated label ~Y(t+1), it is a weighted sum of other labels from Y(t) using nearest neighbor graph. Finally, the estimated labels at iteration