Prior Structural Information-GNN,PSI-GNN
收藏科学数据银行2024-07-26 更新2026-04-23 收录
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资源简介：
Propose PSI-GNN, a graph depth fraud detection model that incorporates a prior structural information. Attribute information characterizing the topology of the central node is embedded in the feature vector through structural information encoding; Secondly, message passing is divided into proximal and distal aspects, one of which is based on a shallow GNN model that aggregates the proximal node information, and the other is oriented to random wander structural similarity to filter and aggregate distal homophilic information; Finally, fusing the above two node embedding results and accomplishing fraud identification.
提供机构：
中国人民公安大学
创建时间：
2024-05-11
