Name
Abstract | ||
|---|---|---|
•Proposes a novel and generic heterogeneous network embedding approach.•Multi-source information in heterogeneous network is successfully modeled jointly.•The model is efficiently unified in the nonnegative matrix factorization framework.•Heterogeneous graph is transformed into homogeneous graph after semantic extraction. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.ins.2020.05.012 | Information Sciences |
Keywords | DocType | Volume |
Heterogeneous network embedding,Multi-source information fusion,Representation learning,Joint learning | Journal | 534 |
ISSN | Citations | PageRank |
0020-0255 | 2 | 0.38 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bentian Li | 1 | 6 | 1.81 |
| De-Chang Pi | 2 | 177 | 39.40 |
| Yunxia Lin | 3 | 2 | 1.39 |
| Izhar Ahmed Khan | 4 | 7 | 3.49 |
| Lin Cui | 5 | 2 | 0.38 |