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...

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Detalles Bibliográficos
Autores principales: Li, Shun, Tao, Yuxuan, Tang, Enhao, Xie, Ting, Chen, Ruiqi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2022
Materias:
Artificial Intelligence
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

Internet

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

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