- Clone the repo
git clone https://github.com/ManishChandra12/NIP-GCN.git
- Install virtualenv
pip install virtualenv
- cd to the project directory
cd NIP-GCN
- Create the virtual environment
virtualenv env
- Activate the virtual environment
source env/bin/activate
- Run the setup script
./setup.sh
- Run the following to train and evaluate on
M10
dataset
./run.sh
Change M10
in run.sh
and self.dataset
in config.py
to dblp
, covid
or covid_title
to train and evaluate on DBLP, Covid-Full and Covid-Title datasets respectively. Refer to config.py
for other hyperparameter settings.