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Sankore

Named after the University of Sankore in Timbuktu — one of the world’s oldest centres of learning. Every figure here is computed from work-level records in our own graph, never copied from a source’s summary count.

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Coverage is partial and says so. A country appears with its research output only once its works have been swept; until then the portal shows whatever the graph happens to hold for it and labels it as exactly that.

Graph Neural Networks for Multi-Layered Financial Crime Network Detection: An Explainable AI Framework for Anti-Money Laundering

2026Journal of Engineering Research and ReportsJournalOpen access

10.9734/jerr/2026/v28i21787 Full text1 citations

Authors

5 authors across 4 institutions in 2 countries.

Oluwadayo Mafolasere OlaniyiFirst author
Ifesinachi Stephen Aroh
Onyii Henry
Olufunke Cynthia Metibemu
- Ekiti State University (NG)
Oluwaseun Ibrahim AkinolaSenior author
- Olabisi Onabanjo University (NG)

Fields

Assignment is probabilistic — a work belongs to several fields in proportions.

Crime, Illicit Activities, and Governancelevel 3 · 0.57
Advanced Graph Neural Networkslevel 3 · 0.09
Imbalanced Data Classification Techniqueslevel 3 · 0.06

Sources

Several sources describing one work is the point — it means the record rests on more than one authority.

openalexseen September 9, 2026
2026 · Journal of Engineering Research and Reports · 1 citations
https://openalex.org/W7125907533

Graph Neural Networks for Multi-Layered Financial Crime Network Detection: An Explainable AI Framework for Anti-Money Laundering · Sankore