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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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Hybrid Graph Neural Networks With Temporal Attention for Cost-Effective Fraud Detection in Financial Transaction Networks

2026IEEE Open Journal of the Computer SocietyJournalOpen access

10.1109/ojcs.2026.3689312 Full text0 citations

Authors

5 authors across 3 institutions in 3 countries.

Ofonime Dominic OkonFirst author
- University of Uyo (NG)
Bliss Utibe-Abasi Stephen
- University of Uyo (NG)
Philip Asuquo
- University of Uyo (NG)
Otuekong Ekpo
Michael Asante OfosuSenior author

Fields

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

Financial Distress and Bankruptcy Predictionlevel 3 · 0.29
Imbalanced Data Classification Techniqueslevel 3 · 0.19
Advanced Graph Neural Networkslevel 3 · 0.14

Sources

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

openalexseen September 9, 2026
2026 · IEEE Open Journal of the Computer Society · 0 citations
https://openalex.org/W7160120027

Hybrid Graph Neural Networks With Temporal Attention for Cost-Effective Fraud Detection in Financial Transaction Networks · Sankore