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Global graph matching using diffusion maps

Research article (Intelligent Data Analysis, 2016) · cited 13× · AI/ML
academia openalex:W2344816337
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Global graph matching using diffusion maps

Summary

Global graph matching using diffusion maps is a scholarly article[1].

Key Facts

  • Global graph matching using diffusion maps's instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Global graph matching using diffusion maps. Retrieved May 24, 2026, from https://4ort.xyz/entity/global-graph-matching-using-diffusion-maps
MLA “Global graph matching using diffusion maps.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/global-graph-matching-using-diffusion-maps.
BibTeX @misc{4ortxyz_global-graph-matching-using-diffusion-maps_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Global graph matching using diffusion maps}}, year = {2026}, url = {https://4ort.xyz/entity/global-graph-matching-using-diffusion-maps}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Global graph matching using diffusion maps — https://4ort.xyz/entity/global-graph-matching-using-diffusion-maps (retrieved 2026-05-24)

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