Adaptive Similarity Function with Structural Features of Network Embedding for Missing Link Prediction
Link prediction is a fundamental problem of data science, which usually calls for unfolding the mechanisms that govern the micro-dynamics of networks. In this regard, using features obtained from network embedding for predicting links has drawn widespread attention. Although methods based on edge fe...
Enregistré dans:
| Auteurs principaux: | , , |
|---|---|
| Format: | article |
| Langue: | EN |
| Publié: |
Hindawi-Wiley
2021
|
| Sujets: | |
| Accès en ligne: | https://doaj.org/article/22f70b50c8954428a7b69aa02e6f2d39 |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
