https://github.com/doujiang-zheng/dynamic-preference-structure
APAN: Asynchronous Propagation Attention Network for Real-time Temporal Graph Embedding
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Fraud Detection is a vital topic that applies to many industries including the financial sectors, banking, government agencies, insurance, and law enforcement, and more. Fraud endeavors have detected a radical rise in current years, creating this topic more critical than ever. Despite struggles on the part of the troubled organizations, hundreds of millions of dollars are wasted to fraud each year. Because nearly a few samples confirm fraud in a vast community, locating these can be complex. Data mining and statistics help to predict and immediately distinguish fraud and take immediate action to minimize costs.
Source: Applying support vector data description for fraud detection
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
APAN: Asynchronous Propagation Attention Network for Real-time Temporal Graph Embedding
Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML Evaluation
Graph similarity learning for change-point detection in dynamic networks
SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training
SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training
Graph Prototypical Networks for Few-shot Learning on Attributed Networks
SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training
Social network analytics for supervised fraud detection in insurance
SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training
GAD-NR: Graph Anomaly Detection via Neighborhood Reconstruction
How effective are Graph Neural Networks in Fraud Detection for Network Data?
A Semi-supervised Graph Attentive Network for Financial Fraud Detection
Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters
A Survey of Predictive Modelling under Imbalanced Distributions
Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters
TOD: GPU-accelerated Outlier Detection via Tensor Operations
Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.