HyperAI
Startseite
Neuigkeiten
Neueste Forschungsarbeiten
Tutorials
Datensätze
Wiki
SOTA
LLM-Modelle
GPU-Rangliste
Veranstaltungen
Suche
Über
Deutsch
HyperAI
Toggle sidebar
Seite durchsuchen…
⌘
K
Startseite
SOTA
Node Classification
Node Classification On Amazon Fraud
Node Classification On Amazon Fraud
Metriken
AUC-ROC
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Columns
Modellname
AUC-ROC
Paper Title
Repository
GTAN
97.50
Semi-supervised Credit Card Fraud Detection via Attribute-Driven Graph Representation
PC-GNN
95.86
Pick and Choose: A GNN-based Imbalanced Learning Approach for Fraud Detection
RLC-GNN
97.48
RLC-GNN: An Improved Deep Architecture for Spatial-Based Graph Neural Network with Application to Fraud Detection
-
CARE-GNN
89.73
Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters
LEX-GNN
97.91
LEX-GNN: Label-Exploring Graph Neural Network for Accurate Fraud Detection
RioGNN
96.19
Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks
0 of 6 row(s) selected.
Previous
Next