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Multi-Scale Aggregation Graph Neural Networks Based on Feature Similarity for Semi-Supervised Learning
The problem of extracting meaningful data through graph analysis spans a range of different fields, such as social networks, knowledge graphs, citation networks, the World Wide Web, and so on. As increasingly structured data become available, the importance of being able to effectively mine and lear...
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| Publicado no: | Entropy (Basel) |
|---|---|
| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8067278/ https://ncbi.nlm.nih.gov/pubmed/33800642 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e23040403 |
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