Deep Learning, Artificial Intelligence, Self Supervised Learning, Semi Supervised Learning, Graph Laplacian.
a dataset of n examples X={x1, …, xn} ∈ R^(n×d) with d being the feature dimension. And we have the label matrix Y={y1, …, yn} ∈ R^(n×c) with c being the number of classes. Within label matrix Y, some are labeled data denoted as l and some are unlabeled data denoted as u. The goal is to leverage