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Efficient Join Order Selection Learning with Graph-based Representation

Research article (Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2022) · cited 27× · AI/ML
academia openalex:W4290878206
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Efficient Join Order Selection Learning with Graph-based Representation

Summary

Efficient Join Order Selection Learning with Graph-based Representation is a scholarly article[1].

Key Facts

  • Efficient Join Order Selection Learning with Graph-based Representation'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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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.

APA 4ort.xyz Knowledge Graph. (2026). Efficient Join Order Selection Learning with Graph-based Representation. Retrieved May 24, 2026, from https://4ort.xyz/entity/efficient-join-order-selection-learning-with-graph-based-representation
MLA “Efficient Join Order Selection Learning with Graph-based Representation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/efficient-join-order-selection-learning-with-graph-based-representation.
BibTeX @misc{4ortxyz_efficient-join-order-selection-learning-with-graph-based-representation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Efficient Join Order Selection Learning with Graph-based Representation}}, year = {2026}, url = {https://4ort.xyz/entity/efficient-join-order-selection-learning-with-graph-based-representation}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Efficient Join Order Selection Learning with Graph-based Representation — https://4ort.xyz/entity/efficient-join-order-selection-learning-with-graph-based-representation (retrieved 2026-05-24)

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