Link prediction on bipartite networks using matrix factorization with negative sample selection

• Published in: PloS one Vol. 18; no. 8; p. e0289568
• Main Authors: Peng, Siqi, Yamamoto, Akihiro, Ito, Kimihito
• Format: Journal Article
• Language: English
• Published: San Francisco Public Library of Science 16.08.2023; Public Library of Science (PLoS)
• Subjects: Biology and Life Sciences; Computer and Information Sciences; Disease; Factorization; Links; Medicine and Health Sciences; Methods; Network analysis; Physical Sciences; Predictions; Research and Analysis Methods; Social networks; Social Sciences; Training

We propose a new method for bipartite link prediction using matrix factorization with negative sample selection. Bipartite link prediction is a problem that aims to predict the missing links or relations in a bipartite network. One of the most popular solutions to the problem is via matrix factoriza...