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A graph neural network-based stock forecasting method utilizing multi-source heterogeneous data fusion
The study of the prediction of stock market volatility is of great significance to rationally control financial market risks and increase excessive investment returns and has received extensive attention from academic and commercial circles. However, as a dynamic and complex system, the stock market...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9135987/ https://www.ncbi.nlm.nih.gov/pubmed/35668823 http://dx.doi.org/10.1007/s11042-022-13231-1 |