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Pairwise Learning for Name Disambiguation in Large-Scale Heterogeneous Academic Networks
[article]
2021
arXiv
pre-print
Name disambiguation aims to identify unique authors with the same name. Existing name disambiguation methods always exploit author attributes to enhance disambiguation results. However, some discriminative author attributes (e.g., email and affiliation) may change because of graduation or job-hopping, which will result in the separation of the same author's papers in digital libraries. Although these attributes may change, an author's co-authors and research topics do not change frequently with
arXiv:2008.13099v4
fatcat:kwlfwoh7j5ffll4vgfi4ncmjy4