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A Pytorch implementation of paper "Temporal Relational Ranking for Stock Prediction"

TGC_torch

A Pytorch implementation of the paper Temporal Relational Ranking for Stock Prediction. The officical tensorflow implementation is here

requirements

Python>=3.6 and torch>=1.3

Run the code

Once you download the data that provided by link, put the files to the data folder, and then run the train.py to train a RelationLSTM using TGC.