A Review on Graph Neural Network Methods in Financial Applications

With multiple components and relations, financial data are often presented as graph data, since it could represent both the individual features and the complicated relations. Due to the complexity and volatility of the financial market, the graph constructed on the financial data is often heterogene...

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Bibliographic Details
Published inJournal of Data Science Vol. 20; no. 2; pp. 111 - 134
Main Authors Wang, Jianian, Zhang, Sheng, Xiao, Yanghua, Song, Rui
Format Journal Article
LanguageEnglish
Published 中華資料採礦協會 01.04.2022
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