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A Multi-Task Representation Learning Architecture for Enhanced Graph Classification
Composed of nodes and edges, graph structured data are organized in the non-Euclidean geometric space and ubiquitous especially in chemical compounds, proteins, etc. They usually contain rich structure information, and how to effectively extract inherent features of them is of great significance on...
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| Publicado en: | Front Neurosci |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Frontiers Media S.A.
2020
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6962136/ https://ncbi.nlm.nih.gov/pubmed/31998065 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2019.01395 |
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