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EPQuant: A Graph Neural Network compression approach based on product quantization

Research article (Neurocomputing, 2022) · cited 14× · AI/ML
academia openalex:W4283737104
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EPQuant: A Graph Neural Network compression approach based on product quantization

Summary

EPQuant: A Graph Neural Network compression approach based on product quantization is a scholarly article[1].

Key Facts

  • EPQuant: A Graph Neural Network compression approach based on product quantization's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). EPQuant: A Graph Neural Network compression approach based on product quantization. Retrieved May 24, 2026, from https://4ort.xyz/entity/epquant-a-graph-neural-network-compression-approach-based-on-product-quantization
MLA “EPQuant: A Graph Neural Network compression approach based on product quantization.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/epquant-a-graph-neural-network-compression-approach-based-on-product-quantization.
BibTeX @misc{4ortxyz_epquant-a-graph-neural-network-compression-approach-based-on-product-quantization_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{EPQuant: A Graph Neural Network compression approach based on product quantization}}, year = {2026}, url = {https://4ort.xyz/entity/epquant-a-graph-neural-network-compression-approach-based-on-product-quantization}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): EPQuant: A Graph Neural Network compression approach based on product quantization — https://4ort.xyz/entity/epquant-a-graph-neural-network-compression-approach-based-on-product-quantization (retrieved 2026-05-24)

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