Abstract: Stock trend prediction involves forecasting the future price movements by analyzing historical data and various market indicators. With the advancement of machine learning, graph neural ...
Abstract: Recent progress in research on deep graph networks (DGNs) has led to a maturation of the domain of learning on graphs. Despite the growth of this research field, there are still important ...
This repository is the implementation of the following paper: Theoretical Insights into Line Graph Transformation on Graph Learning. This project is built on the BREC dataset which includes 400 pairs ...
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