Home ›
Entities
› academia
› A survey of field programmable gate array (FPGA)-based graph convolutional neural network accelerators: challenges and opportunities
A survey of field programmable gate array (FPGA)-based graph convolutional neural network accelerators: challenges and opportunities
A survey of field programmable gate array (FPGA)-based graph convolutional neural network accelerators: challenges and opportunities
Summary
A survey of field programmable gate array (FPGA)-based graph convolutional neural network accelerators: challenges and opportunities is a scholarly article[1].
Key Facts
A survey of field programmable gate array (FPGA)-based graph convolutional neural network accelerators: challenges and opportunities's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). A survey of field programmable gate array (FPGA)-based graph convolutional neural network accelerators: challenges and opportunities. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-survey-of-field-programmable-gate-array-fpga-based-graph-convolutional-neural-network-accelerators-challenges-and-oppo
MLA“A survey of field programmable gate array (FPGA)-based graph convolutional neural network accelerators: challenges and opportunities.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-survey-of-field-programmable-gate-array-fpga-based-graph-convolutional-neural-network-accelerators-challenges-and-oppo.
BibTeX@misc{4ortxyz_a-survey-of-field-programmable-gate-array-fpga-based-graph-convolutional-neural-network-accelerators-challenges-and-oppo_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A survey of field programmable gate array (FPGA)-based graph convolutional neural network accelerators: challenges and opportunities}}, year = {2026}, url = {https://4ort.xyz/entity/a-survey-of-field-programmable-gate-array-fpga-based-graph-convolutional-neural-network-accelerators-challenges-and-oppo}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A survey of field programmable gate array (FPGA)-based graph convolutional neural network accelerators: challenges and opportunities — https://4ort.xyz/entity/a-survey-of-field-programmable-gate-array-fpga-based-graph-convolutional-neural-network-accelerators-challenges-and-oppo (retrieved 2026-05-24)
