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Towards a realistic track reconstruction algorithm based on graph neural networks for the HL-LHC

Research article (Springer Link (Chiba Institute of Technology), 2021) · cited 22× · AI/ML
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Towards a realistic track reconstruction algorithm based on graph neural networks for the HL-LHC

Summary

Towards a realistic track reconstruction algorithm based on graph neural networks for the HL-LHC is a scholarly article[1].

Key Facts

  • Towards a realistic track reconstruction algorithm based on graph neural networks for the HL-LHC's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Towards a realistic track reconstruction algorithm based on graph neural networks for the HL-LHC. Retrieved May 24, 2026, from https://4ort.xyz/entity/towards-a-realistic-track-reconstruction-algorithm-based-on-graph-neural-networks-for-the-hl-lhc
MLA “Towards a realistic track reconstruction algorithm based on graph neural networks for the HL-LHC.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/towards-a-realistic-track-reconstruction-algorithm-based-on-graph-neural-networks-for-the-hl-lhc.
BibTeX @misc{4ortxyz_towards-a-realistic-track-reconstruction-algorithm-based-on-graph-neural-networks-for-the-hl-lhc_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Towards a realistic track reconstruction algorithm based on graph neural networks for the HL-LHC}}, year = {2026}, url = {https://4ort.xyz/entity/towards-a-realistic-track-reconstruction-algorithm-based-on-graph-neural-networks-for-the-hl-lhc}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Towards a realistic track reconstruction algorithm based on graph neural networks for the HL-LHC — https://4ort.xyz/entity/towards-a-realistic-track-reconstruction-algorithm-based-on-graph-neural-networks-for-the-hl-lhc (retrieved 2026-05-24)

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