Zhu-Shatong / DynamicSocialNetworkFraudDetection
“DynamicSocialNetworkFraudDetection”（动态社交网络反欺诈检测）是一个专注于动态社交网络中金融欺诈检测的图神经网络项目。该项目利用来自企业不同业务时间段的数据集，构建了一个代表用户复杂关系的全连通有向动态图。本项目的目标是通过利用图神经网络模型，包括但不限于GAT、GraphSAGE以及新型的GEARSage，分析用户间的复杂互联关系并预测欺诈活动。我们的工作通过深入理解社交网络的演化性质并应用最前沿的机器学习技术，增强了金融欺诈检测的能力。
☆77Updated 2 months ago
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