5 citations · 9 across the 4 of their papers we have counts for
4 papers
Behavioral graph fraud detection in E-commerce
Hang Yin, Zitao Zhang, Zhurong Wang +5
In e-commerce industry, graph neural network methods are the new trends for transaction risk modeling.The power of graph algorithms lie in the capability to catch transaction linki…
Modelling graph dynamics in fraud detection with "Attention"
Susie Xi Rao, Clémence Lanfranchi, Shuai Zhang +7
At online retail platforms, detecting fraudulent accounts and transactions is crucial to improve customer experience, minimize loss, and avoid unauthorized transactions. Despite th…
Graph Neural Networks in Real-Time Fraud Detection with Lambda Architecture
Mingxuan Lu, Zhichao Han, Zitao Zhang +2
Transaction checkout fraud detection is an essential risk control components for E-commerce marketplaces. In order to leverage graph networks to decrease fraud rate efficiently and…
Suspicious Massive Registration Detection via Dynamic Heterogeneous Graph Neural Networks
Susie Xi Rao, Shuai Zhang, Zhichao Han +6
Massive account registration has raised concerns on risk management in e-commerce companies, especially when registration increases rapidly within a short time frame. To monitor th…