Nonnegative Sparse and KNN graph for semi supervised learning

For the graph-based semi-supervised learning, the performance of a classifier is very sensitive to the structure of the graph. So constructing a good graph to represent data, a proper structure for the graph is quite critical. This paper proposes a novel model to construct the graph structure for se