Cargando…
Assessing the effects of hyperparameters on knowledge graph embedding quality
Embedding knowledge graphs into low-dimensional spaces is a popular method for applying approaches, such as link prediction or node classification, to these databases. This embedding process is very costly in terms of both computational time and space. Part of the reason for this is the optimisation...
| Autores principales: | , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer International Publishing
2023
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10164002/ https://www.ncbi.nlm.nih.gov/pubmed/37168524 http://dx.doi.org/10.1186/s40537-023-00732-5 |