TGC_torch
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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.