Pairwise Learning for Name Disambiguation in Large-Scale Heterogeneous Academic Networks
Pairwise Learning for Name Disambiguation in Large-Scale Heterogeneous Academic Networks
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 …