Ensemble graph auto-encoders for clustering and link prediction
Graph auto-encoders are a crucial research area within graph neural networks, commonly employed for generating graph embeddings while minimizing errors in unsupervised learning. Traditional graph auto-encoders focus on reconstructing minimal graph data loss to encode neighborhood information for eac...
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| Principais autores: | , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
PeerJ Inc.
2025-01-01
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| Series: | PeerJ Computer Science |
| Assuntos: | |
| Acceso en liña: | https://peerj.com/articles/cs-2648.pdf |
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