The Time-Geometric model combines GNNs for geometric patterns with temporal models and reports statistically significant accuracy gains in financial time series forecasting.
2016 IEEE International Conference on Data Science and Advanced Analytics (DSAA) , pages=
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The Statistical Significance of the Inclusion of Graph Neural Networks in the Financial Time Series Forecasting Problem
The Time-Geometric model combines GNNs for geometric patterns with temporal models and reports statistically significant accuracy gains in financial time series forecasting.