5 citations · 8 across the 4 of their papers we have counts for
4 papers
BenchTemp: A General Benchmark for Evaluating Temporal Graph Neural Networks
Qiang Huang, Jiawei Jiang, Xi Susie Rao +10
To handle graphs in which features or connectivities are evolving over time, a series of temporal graph neural networks (TGNNs) have been proposed. Despite the success of these TGN…
BRIGHT -- Graph Neural Networks in Real-Time Fraud Detection
Mingxuan Lu, Zhichao Han, Susie Xi Rao +6
Detecting fraudulent transactions is an essential component to control risk in e-commerce marketplaces. Apart from rule-based and machine learning filters that are already deployed…
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…