Joint Learning of the Graph and the Data Representation for Graph-Based Semi-Supervised Learning

Autor: Aurélien Bellet, Mariana Vargas-Vieyra, Pascal Denis

Publikováno v: 14th Workshop on Graph-Based Natural Language Processing (TextGraphs 2020)
14th Workshop on Graph-Based Natural Language Processing (TextGraphs 2020), 2020, Virtual, Spain

International audience; Graph-based semi-supervised learning is appealing when labels are scarce but large amounts of unlabeled data are available. These methods typically use a heuristic strategy to construct the graph based on some fixed data repre

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b4a9580378e26ca1c742c3c3ce48cbc8
https://inria.hal.science/hal-03100039/document