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SGCN: Exploiting Compressed-Sparse Features in Deep Graph Convolutional Network Accelerators

Research article (2023 IEEE International Symposium on High-Performance Computer Architecture (HPCA), 2023) · cited 25× · AI/ML
academia openalex:W4360831975
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SGCN: Exploiting Compressed-Sparse Features in Deep Graph Convolutional Network Accelerators

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SGCN: Exploiting Compressed-Sparse Features in Deep Graph Convolutional Network Accelerators is a scholarly article[1].

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  • SGCN: Exploiting Compressed-Sparse Features in Deep Graph Convolutional Network Accelerators's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). SGCN: Exploiting Compressed-Sparse Features in Deep Graph Convolutional Network Accelerators. Retrieved May 24, 2026, from https://4ort.xyz/entity/sgcn-exploiting-compressed-sparse-features-in-deep-graph-convolutional-network-accelerators
MLA “SGCN: Exploiting Compressed-Sparse Features in Deep Graph Convolutional Network Accelerators.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/sgcn-exploiting-compressed-sparse-features-in-deep-graph-convolutional-network-accelerators.
BibTeX @misc{4ortxyz_sgcn-exploiting-compressed-sparse-features-in-deep-graph-convolutional-network-accelerators_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{SGCN: Exploiting Compressed-Sparse Features in Deep Graph Convolutional Network Accelerators}}, year = {2026}, url = {https://4ort.xyz/entity/sgcn-exploiting-compressed-sparse-features-in-deep-graph-convolutional-network-accelerators}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): SGCN: Exploiting Compressed-Sparse Features in Deep Graph Convolutional Network Accelerators — https://4ort.xyz/entity/sgcn-exploiting-compressed-sparse-features-in-deep-graph-convolutional-network-accelerators (retrieved 2026-05-24)

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