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...

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Detalles Bibliográficos
Autores principales: Pham, Hai Van, Thanh, Dat Hoang, Moore, Philip
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8472962/
https://www.ncbi.nlm.nih.gov/pubmed/34577277
http://dx.doi.org/10.3390/s21186070

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