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FraudLens: Graph Structural Learning for Bitcoin Illicit Activity Identification

Research article (Annual Computer Security Applications Conference, 2023) · cited 10× · AI/ML
academia openalex:W4389279180
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FraudLens: Graph Structural Learning for Bitcoin Illicit Activity Identification

Summary

FraudLens: Graph Structural Learning for Bitcoin Illicit Activity Identification is a scholarly article[1].

Key Facts

  • FraudLens: Graph Structural Learning for Bitcoin Illicit Activity Identification'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). FraudLens: Graph Structural Learning for Bitcoin Illicit Activity Identification. Retrieved May 24, 2026, from https://4ort.xyz/entity/fraudlens-graph-structural-learning-for-bitcoin-illicit-activity-identification
MLA “FraudLens: Graph Structural Learning for Bitcoin Illicit Activity Identification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/fraudlens-graph-structural-learning-for-bitcoin-illicit-activity-identification.
BibTeX @misc{4ortxyz_fraudlens-graph-structural-learning-for-bitcoin-illicit-activity-identification_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{FraudLens: Graph Structural Learning for Bitcoin Illicit Activity Identification}}, year = {2026}, url = {https://4ort.xyz/entity/fraudlens-graph-structural-learning-for-bitcoin-illicit-activity-identification}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): FraudLens: Graph Structural Learning for Bitcoin Illicit Activity Identification — https://4ort.xyz/entity/fraudlens-graph-structural-learning-for-bitcoin-illicit-activity-identification (retrieved 2026-05-24)

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