FinGraph Dataset
收藏arXiv2025-09-30 收录
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资源简介：
该数据集是一个金融行业的匿名动态用户交互图，旨在用于评估金融欺诈检测技术。该数据集中包含82,000个标记的用户节点，其中1,000个为欺诈者，其余81,000个为正常用户。由于隐私保护，节点身份及其具体含义并未公开。数据集的规模大约有410万个用户节点和500万条边，任务目标是进行金融欺诈检测。
This dataset is an anonymous dynamic user interaction graph for the financial industry, designed to evaluate financial fraud detection technologies. It contains 82,000 labeled user nodes, among which 1,000 are fraudsters and the remaining 81,000 are legitimate users. Due to privacy protection requirements, the identities and specific meanings of the nodes have not been disclosed. The total scale of the dataset is approximately 4.1 million user nodes and 5 million edges, and the task objective is financial fraud detection.
提供机构：
7th Finvolution Data Science Competition
