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홈뉴스연구 논문튜토리얼데이터셋백과사전SOTALLM 모델GPU 랭킹컨퍼런스
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소개
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  3. 노드 분류
  4. Node Classification On Yelpchi

Node Classification On Yelpchi

평가 지표

AUC-ROC

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름
AUC-ROC
Paper TitleRepository
BOLT-GRAPH93.18BOLT: An Automated Deep Learning Framework for Training and Deploying Large-Scale Search and Recommendation Models on Commodity CPU Hardware
RLC-GNN85.44RLC-GNN: An Improved Deep Architecture for Spatial-Based Graph Neural Network with Application to Fraud Detection-
PC-GNN79.87Pick and Choose: A GNN-based Imbalanced Learning Approach for Fraud Detection-
CARE-GNN75.70Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters
LEX-GNN96.40LEX-GNN: Label-Exploring Graph Neural Network for Accurate Fraud Detection-
SplitGNN92.03SplitGNN: Spectral Graph Neural Network for Fraud Detection against Heterophily-
RioGNN83.54Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks
GTAN94.98Semi-supervised Credit Card Fraud Detection via Attribute-Driven Graph Representation
GAT+JK90.04New Benchmarks for Learning on Non-Homophilous Graphs
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한국어

소개

회사 소개데이터셋 도움말

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뉴스튜토리얼데이터셋백과사전

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