Fair Benchmark for Unsupervised Node Representation Learning
Most machine-learning algorithms assume that instances are independent of each other. This does not hold for networked data. Node representation learning (NRL) aims to learn low-dimensional vectors to represent nodes in a network, such that all actionable patterns in topological structures and side...
| Principais autores: | , , , , , , |
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| Formato: | Artigo |
| Idioma: | English |
| Publicado em: |
MDPI AG
2022-10-01
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| coleção: | Algorithms |
| Assuntos: | |
| Acesso em linha: | https://www.mdpi.com/1999-4893/15/10/379 |