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Node Classification
벤치마크
Node Classification on
Yelp-Fraud
9개 결과 ·
⬇ CSV
·
JSON
AUC-ROC
75.7
80.88
86.05
91.23
96.4
2020-08
2026-09
CARE-GNN — 75.7 (2020-08-19)
GAT+JK — 90.04 (2021-04-03)
RioGNN — 83.54 (2021-04-16)
PC-GNN — 79.87 (2021-04-19)
RLC-GNN — 85.44 (2021-06-18)
BOLT-GRAPH — 93.18 (2023-03-30)
SplitGNN — 92.03 (2023-10-21)
LEX-GNN — 96.4 (2024-10-21)
GTAN — 94.98 (2024-12-24)
CARE-GNN — 75.7 (2020-08-19)
GAT+JK — 90.04 (2021-04-03)
BOLT-GRAPH — 93.18 (2023-03-30)
LEX-GNN — 96.4 (2024-10-21)
2020-08-19 — CARE-GNN: AUC-ROC 75.7
2021-04-03 — GAT+JK: AUC-ROC 90.04
2023-03-30 — BOLT-GRAPH: AUC-ROC 93.18
2024-10-21 — LEX-GNN: AUC-ROC 96.4
Rank
Model
AUC-ROC
Paper
Code
Year
1
LEX-GNN
96.40
LEX-GNN: Label-Exploring Graph Neural Network for Accurate Fraud Detection
wdhyun/LEX-GNN
2024
2
GTAN
94.98
Semi-supervised Credit Card Fraud Detection via Attribute-Driven Graph Representation
ai4risk/antifraud
·
finint/antifraud
2024
3
BOLT-GRAPH
93.18
BOLT: An Automated Deep Learning Framework for Training and Deploying Large-Scale Search and Recommendation Models on Commodity CPU Hardware
ThirdAIResearch/BOLT_Benchmarks
·
thirdairesearch/bolt_benchmarks
2023
4
SplitGNN
92.03
SplitGNN: Spectral Graph Neural Network for Fraud Detection against Heterophily
split-gnn/splitgnn
·
blackboxo/SplitGNN
2023
5
GAT+JK
90.04
New Benchmarks for Learning on Non-Homophilous Graphs
CUAI/Non-Homophily-Benchmarks
2021
6
RLC-GNN
85.44
RLC-GNN: An Improved Deep Architecture for Spatial-Based Graph Neural Network with Application to Fraud Detection
2021
7
RioGNN
83.54
Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks
safe-graph/RioGNN
2021
8
PC-GNN
79.87
Pick and Choose: A GNN-based Imbalanced Learning Approach for Fraud Detection
PonderLY/PC-GNN
2021
9
CARE-GNN
75.70
Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters
dmlc/dgl
·
safe-graph/DGFraud
·
YingtongDou/CARE-GNN
·
+3
2020
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