Temporal Graph Networks for Graph Anomaly Detection in Financial Networks

By Yejin Kim, Youngbin Lee, Minyoung Choe, Sungju Oh, Yongjae Lee

Published 2024-03-27

Everscope rating

1432.6

Relevance to quantitative trading

8 / 10

Implementation complexity

7 / 10

Reproducibility

3 / 5

About this paper

Methodology: Temporal Graph Networks. Problem types: Graph Anomaly Detection, Node Classification, Fraud Detection.

arXiv:2404.00060 · Paper rankings

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