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Using attentive temporal GNN for dynamic trust assessment in the presence of malicious entities

Research article (Expert Systems with Applications, 2024) · cited 10× · AI/ML
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Using attentive temporal GNN for dynamic trust assessment in the presence of malicious entities

Summary

Using attentive temporal GNN for dynamic trust assessment in the presence of malicious entities is a scholarly article[1].

Key Facts

  • Using attentive temporal GNN for dynamic trust assessment in the presence of malicious entities's instance of is recorded as scholarly article[2].

References

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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). Using attentive temporal GNN for dynamic trust assessment in the presence of malicious entities. Retrieved May 24, 2026, from https://4ort.xyz/entity/using-attentive-temporal-gnn-for-dynamic-trust-assessment-in-the-presence-of-malicious-entities
MLA “Using attentive temporal GNN for dynamic trust assessment in the presence of malicious entities.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/using-attentive-temporal-gnn-for-dynamic-trust-assessment-in-the-presence-of-malicious-entities.
BibTeX @misc{4ortxyz_using-attentive-temporal-gnn-for-dynamic-trust-assessment-in-the-presence-of-malicious-entities_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Using attentive temporal GNN for dynamic trust assessment in the presence of malicious entities}}, year = {2026}, url = {https://4ort.xyz/entity/using-attentive-temporal-gnn-for-dynamic-trust-assessment-in-the-presence-of-malicious-entities}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Using attentive temporal GNN for dynamic trust assessment in the presence of malicious entities — https://4ort.xyz/entity/using-attentive-temporal-gnn-for-dynamic-trust-assessment-in-the-presence-of-malicious-entities (retrieved 2026-05-24)

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