Name
Title | ||
|---|---|---|
Graph regularization weighted nonnegative matrix factorization for link prediction in weighted complex network. |
Abstract | ||
|---|---|---|
•A novel link prediction method Graph Regularization weighted Nonnegative Matrix Factorization(GWNMF) is proposed.•GWNMF integrates two types of information: local topology information and links weight information.•We derive the multiplicative updating rules to learn the parameter of GWNMF.•Conducting experiments on seven real-world weighted network demonstrates that GWNMF outperforms the state-of-the-arts methods for weighted networks task. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.neucom.2019.08.068 | Neurocomputing |
Keywords | Field | DocType |
Link prediction,Weighted nonnegative matrix factorization,Weighted cosine similarity,Link weight | Multiplicative function,Pattern recognition,Cosine similarity,Matrix (mathematics),Algorithm,Weighted network,Graph regularization,Non-negative matrix factorization,Link weight,Complex network,Artificial intelligence,Mathematics | Journal |
Volume | ISSN | Citations |
369 | 0925-2312 | 2 |
PageRank | References | Authors |
0.36 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Guangfu Chen | 1 | 4 | 1.10 |
| Chen Xu | 2 | 269 | 29.36 |
| Jingyi Wang | 3 | 17 | 3.61 |
| Jianwen Feng | 4 | 63 | 6.61 |
| Jiqiang Feng | 5 | 22 | 4.81 |