📊 Showing 6 results | 📏 Metric: AUC-ROC
| Rank | Model | Paper | AUC-ROC | Date | Code |
|---|---|---|---|---|---|
| 1 | JA-GNN | Financial Fraud Detection using Jump-Attentive Graph Neural Networks | 95.11 | 2024-11-07 | 📦 foobar777x/ja-gnn-exp |
| 2 | GTAN | Semi-supervised Credit Card Fraud Detection via Attribute-Driven Graph Representation | 94.98 | 2024-12-24 | 📦 ai4risk/antifraud 📦 finint/antifraud |
| 3 | BOLT-GRAPH | BOLT: An Automated Deep Learning Framework for Training and Deploying Large-Scale Search and Recommendation Models on Commodity CPU Hardware | 93.18 | 2023-03-30 | 📦 ThirdAIResearch/BOLT_Benchmarks 📦 thirdairesearch/bolt_benchmarks |
| 4 | GAT+JK | New Benchmarks for Learning on Non-Homophilous Graphs | 90.04 | 2021-04-03 | 📦 CUAI/Non-Homophily-Benchmarks |
| 5 | RioGNN | Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks | 83.54 | 2021-04-16 | 📦 safe-graph/RioGNN |
| 6 | CARE-GNN | Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters | 75.70 | 2020-08-19 | 📦 dmlc/dgl 📦 safe-graph/DGFraud 📦 YingtongDou/CARE-GNN |