Code to reproduce and extend the results of the report Stochastic-Graph-assisted-Genre-Classification
The easiest way to get started is by looking at the notebook Stochastic-Graph-assisted-Genre-Classification.ipynb
Run the following commands. Install the following requirements, preferably via anaconda:
torch
pyg
sklearn
Also, go change directory
$ cd Stochastic-Graph-assisted-Genre-Classification
Finally, install the package
$ pip install -e .
You can find the data used for the experiments here
The file is expected to be placed in datasets/book_review, so please create the directory if it does not exist.
Please contact andreasjosef.binder@tum.de in case you have any questions.