This paper introduces a novel approach to stock data analysis by employing a Hierarchical Graph Neural Network (HGNN) model that captures multi-level information and relational structures in the stock ...

Stock market volatility research has long been the focus of industry and academia, and stock trend forecasting is challenging. Existing research focuses more on how to aggregate historical price ...

In Brief: Run HyS3.py and see the financial prediction performance of our model! In Detail: These codes try to solve the financial prediction problem using a novel model and another algorithm both ...