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Hierarchical Pooling in Graph Neural Networks to Enhance Classification Performance in Large Datasets
Deep learning methods predicated on convolutional neural networks and graph neural networks have enabled significant improvement in node classification and prediction when applied to graph representation with learning node embedding to effectively represent the hierarchical properties of graphs. An...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8472962/ https://www.ncbi.nlm.nih.gov/pubmed/34577277 http://dx.doi.org/10.3390/s21186070 |