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A heterogeneous graph-based semi-supervised learning framework for access control decision-making

Research article (World Wide Web, 2024) · cited 17× · AI/ML
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A heterogeneous graph-based semi-supervised learning framework for access control decision-making

Summary

A heterogeneous graph-based semi-supervised learning framework for access control decision-making is a scholarly article[1].

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  • A heterogeneous graph-based semi-supervised learning framework for access control decision-making's instance of is recorded as scholarly article[2].

Related Entities

Hua Wang

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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). A heterogeneous graph-based semi-supervised learning framework for access control decision-making. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-heterogeneous-graph-based-semi-supervised-learning-framework-for-access-control-decision-making
MLA “A heterogeneous graph-based semi-supervised learning framework for access control decision-making.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-heterogeneous-graph-based-semi-supervised-learning-framework-for-access-control-decision-making.
BibTeX @misc{4ortxyz_a-heterogeneous-graph-based-semi-supervised-learning-framework-for-access-control-decision-making_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A heterogeneous graph-based semi-supervised learning framework for access control decision-making}}, year = {2026}, url = {https://4ort.xyz/entity/a-heterogeneous-graph-based-semi-supervised-learning-framework-for-access-control-decision-making}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A heterogeneous graph-based semi-supervised learning framework for access control decision-making — https://4ort.xyz/entity/a-heterogeneous-graph-based-semi-supervised-learning-framework-for-access-control-decision-making (retrieved 2026-05-24)

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