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Fraud Detection On Elliptic Dataset

Métriques

AUC
AUPRC

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle
AUC
AUPRC
Paper TitleRepository
Node2vec0.52630.0594Network Analytics for Anti-Money Laundering -- A Systematic Literature Review and Experimental Evaluation-
Deepwalk0.45000.0488Network Analytics for Anti-Money Laundering -- A Systematic Literature Review and Experimental Evaluation-
GCN0.83290.5946Network Analytics for Anti-Money Laundering -- A Systematic Literature Review and Experimental Evaluation-
GIN0.80890.5517Network Analytics for Anti-Money Laundering -- A Systematic Literature Review and Experimental Evaluation-
GAT0.81020.5886Network Analytics for Anti-Money Laundering -- A Systematic Literature Review and Experimental Evaluation-
GraphSAGE0.82790.6312Network Analytics for Anti-Money Laundering -- A Systematic Literature Review and Experimental Evaluation-
0 of 6 row(s) selected.
Fraud Detection On Elliptic Dataset | SOTA | HyperAI