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08/31/2023
BenchTemp: A General Benchmark for Evaluating Temporal Graph Neural Networks
To handle graphs in which features or connectivities are evolving over t...
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10/13/2022
Behavioral graph fraud detection in E-commerce
In e-commerce industry, graph neural network methods are the new trends ...
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06/20/2022
GraphFramEx: Towards Systematic Evaluation of Explainability Methods for Graph Neural Networks
As one of the most popular machine learning models today, graph neural n...
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05/25/2022
BRIGHT – Graph Neural Networks in Real-Time Fraud Detection
Detecting fraudulent transactions is an essential component to control r...
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04/22/2022
Modelling graph dynamics in fraud detection with "Attention"
At online retail platforms, detecting fraudulent accounts and transactio...
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10/09/2021
Graph Neural Networks in Real-Time Fraud Detection with Lambda Architecture
Transaction checkout fraud detection is an essential risk control compon...
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12/20/2020
Suspicious Massive Registration Detection via Dynamic Heterogeneous Graph Neural Networks
Massive account registration has raised concerns on risk management in e...
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11/24/2020