- Command:
bash codes/preprocess.sh [task] [No.workers]
- Options:
No.workers: number of workers for parallel processingtask: on which dataset the script works on (possible values: wn18rr, fb15k237)
- Command:
bash run.sh [Options]
- Options: please check
run.pyfor more information
- Command:
python codes/results.py
According to the original project, best_config.sh contains all the commands with the best arguments for each models. Therefore, we use those commands to obtain the results for our models which are based on the original models.