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...
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| Auteurs principaux: | , , |
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| Format: | article |
| Langue: | EN |
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Hindawi-Wiley
2021
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| Accès en ligne: | https://doaj.org/article/22f70b50c8954428a7b69aa02e6f2d39 |
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