Name
Abstract | ||
|---|---|---|
•Applied rotation transformation in GCN for the hyperbolic KGs embedding.•Adjusted the order of linear transformation and aggregation for easy calculation.•Applied the skip-connection mechanism on the hyperbolic GCN encoder of model.•The model achieved a good performance on benchmark datasets. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1016/j.neucom.2022.01.037 | Neurocomputing |
Keywords | DocType | Volume |
Hyperbolic space,Poincaré ball,Knowledge graphs,Knowledge embedding,Knowledge representation,Link prediction | Journal | 480 |
ISSN | Citations | PageRank |
0925-2312 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shuanglong Yao | 1 | 0 | 0.68 |
| De-Chang Pi | 2 | 177 | 39.40 |
| Junfu Chen | 3 | 1 | 1.71 |