A novel link prediction algorithm based on inductive matrix completion
作者：
Highlights：
• A novel link prediction approach based on inductive matrix completion is proposed.
• A comprehensive node feature representation is employed.
• Link prediction is based on the node features and the factorized matrices.
• Comparisons have been done with both classical and state-of-the-art methods.
• The approach provides a potential link prediction solution for large-scale networks.
摘要
•A novel link prediction approach based on inductive matrix completion is proposed.•A comprehensive node feature representation is employed.•Link prediction is based on the node features and the factorized matrices.•Comparisons have been done with both classical and state-of-the-art methods.•The approach provides a potential link prediction solution for large-scale networks.
论文关键词：Link prediction,Dimension reduction,Matrix completion,Feature construction,Feature selection
论文评审过程：Received 14 November 2020, Revised 15 August 2021, Accepted 2 October 2021, Available online 9 October 2021, Version of Record 14 October 2021.
论文官网地址：https://doi.org/10.1016/j.eswa.2021.116033
