Paper [1] proposes two methods:

  2. Duplicate the unlabeled data and view them as positive and negative.

[1] Elkan, Charles, and Keith Noto. “Learning classifiers from only positive and unlabeled data.” In Proceedings of the 14th ACM SIGKDD, pp. 213-220. 2008.