GAR: An efficient and scalable graph-based activity regularization for semi-supervised learning

Ozsel Kilinc, Ismail Uysal. GAR: An efficient and scalable graph-based activity regularization for semi-supervised learning. Neurocomputing, 296:46-54, 2018. [doi]

@article{KilincU18,
  title = {GAR: An efficient and scalable graph-based activity regularization for semi-supervised learning},
  author = {Ozsel Kilinc and Ismail Uysal},
  year = {2018},
  doi = {10.1016/j.neucom.2018.03.028},
  url = {https://doi.org/10.1016/j.neucom.2018.03.028},
  researchr = {https://researchr.org/publication/KilincU18},
  cites = {0},
  citedby = {0},
  journal = {Neurocomputing},
  volume = {296},
  pages = {46-54},
}