Jingwen Yin

We don’t have enough information about this author to calculate their statistics. If you think this is an error let us know.
Learn More
—In the literature, most existing graph-based semi-supervised learning (SSL) methods only use the label information of observed samples in the label propagation stage, while ignoring such valuable information when learning the graph. In this paper, we argue that it is beneficial to consider the label information in the graph learning stage. Specifically, by(More)
  • 1