- To reproduce data preprocessing steps, refer content directory
- To evaluate KT methods in diverse setting, use kt_benchmark submodule
- To run AFM in the dataset, user pyAFM submodule
Our data inherits the terms of use of CMU datashop (https://pslcdatashop.web.cmu.edu/Terms).
We conducted this experiment on an M3 MacBook Pro with 36GB of shared memory. The experiments were conducted only once with the seed fixed on the code, and the seeds were not optimized for better results.