Recommending Co-authorship via Network Embeddings and Feature Engineering: The case of National Research University Higher School of Economics

Ilya Makarov, Olga Gerasimova, Pavel Sulimov, Leonid E. Zhukov. Recommending Co-authorship via Network Embeddings and Feature Engineering: The case of National Research University Higher School of Economics. In Jiangping Chen, Marcos André Gonçalves, Jeff M. Allen, Edward A. Fox, Min-Yen Kan, Vivien Petras, editors, Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries, JCDL 2018, Fort Worth, TX, USA, June 03-07, 2018. pages 365-366, ACM, 2018. [doi]

@inproceedings{MakarovGSZ18,
  title = {Recommending Co-authorship via Network Embeddings and Feature Engineering: The case of National Research University Higher School of Economics},
  author = {Ilya Makarov and Olga Gerasimova and Pavel Sulimov and Leonid E. Zhukov},
  year = {2018},
  doi = {10.1145/3197026.3203911},
  url = {http://doi.acm.org/10.1145/3197026.3203911},
  researchr = {https://researchr.org/publication/MakarovGSZ18},
  cites = {0},
  citedby = {0},
  pages = {365-366},
  booktitle = {Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries, JCDL 2018, Fort Worth, TX, USA, June 03-07, 2018},
  editor = {Jiangping Chen and Marcos André Gonçalves and Jeff M. Allen and Edward A. Fox and Min-Yen Kan and Vivien Petras},
  publisher = {ACM},
}