Wissem Inoubli, Armelle Brun. DGL4C: a Deep Semi-supervised Graph Representation Learning Model for Resume Classification. In Mesut Kaya, Toine Bogers, David Graus, Sepideh Mesbah, Chris Johnson 0011, Francisco Gutiérrez, editors, Proceedings of the 2nd Workshop on Recommender Systems for Human Resources (RecSys-in-HR 2022) co-located with the 16th ACM Conference on Recommender Systems (RecSys 2022), Seattle, USA, 18th-23rd September 2022. Volume 3218 of CEUR Workshop Proceedings, CEUR-WS.org, 2022. [doi]
@inproceedings{InoubliB22,
title = {DGL4C: a Deep Semi-supervised Graph Representation Learning Model for Resume Classification},
author = {Wissem Inoubli and Armelle Brun},
year = {2022},
url = {http://ceur-ws.org/Vol-3218/RecSysHR2022-paper_5.pdf},
researchr = {https://researchr.org/publication/InoubliB22},
cites = {0},
citedby = {0},
booktitle = {Proceedings of the 2nd Workshop on Recommender Systems for Human Resources (RecSys-in-HR 2022) co-located with the 16th ACM Conference on Recommender Systems (RecSys 2022), Seattle, USA, 18th-23rd September 2022},
editor = {Mesut Kaya and Toine Bogers and David Graus and Sepideh Mesbah and Chris Johnson 0011 and Francisco Gutiérrez},
volume = {3218},
series = {CEUR Workshop Proceedings},
publisher = {CEUR-WS.org},
}