HyperAI초신경

홈 뉴스 최신 연구 논문 튜토리얼 데이터셋 백과사전 SOTA LLM 모델 GPU 랭킹 컨퍼런스

한국어

HyperAI초신경

Node Classification On Yelpchi

평가 지표

AUC-ROC

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름	AUC-ROC	Paper Title	Repository
BOLT-GRAPH	93.18	BOLT: An Automated Deep Learning Framework for Training and Deploying Large-Scale Search and Recommendation Models on Commodity CPU Hardware	-
RLC-GNN	85.44	RLC-GNN: An Improved Deep Architecture for Spatial-Based Graph Neural Network with Application to Fraud Detection	-
PC-GNN	79.87	Pick and Choose: A GNN-based Imbalanced Learning Approach for Fraud Detection
CARE-GNN	75.70	Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters	-
LEX-GNN	96.40	LEX-GNN: Label-Exploring Graph Neural Network for Accurate Fraud Detection
SplitGNN	92.03	SplitGNN: Spectral Graph Neural Network for Fraud Detection against Heterophily
RioGNN	83.54	Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks	-
GTAN	94.98	Semi-supervised Credit Card Fraud Detection via Attribute-Driven Graph Representation	-
GAT+JK	90.04	New Benchmarks for Learning on Non-Homophilous Graphs	-

0 of 9 row(s) selected.

Node Classification On Yelpchi | SOTA | HyperAI초신경