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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Published in | Journal of Data Science Vol. 20; no. 2; pp. 111 - 134 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
中華資料採礦協會
01.04.2022
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Subjects | |
Online Access | Get full text |
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