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A survey of field programmable gate array (FPGA)-based graph convolutional neural network accelerators: challenges and opportunities
Graph convolutional networks (GCNs) based on convolutional operations have been developed recently to extract high-level representations from graph data. They have shown advantages in many critical applications, such as recommendation system, natural language processing, and prediction of chemical r...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
PeerJ Inc.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9748818/ https://www.ncbi.nlm.nih.gov/pubmed/36532812 http://dx.doi.org/10.7717/peerj-cs.1166 |