PCCA

Overview

Official code of "Popularity-Aware Alignment and Contrast for Mitigating Popularity Bias" (2024 KDD ID:848)

Requirements

• python == 3.9.7

• pytorch == 1.12.0+cu113

• numba == 0.54.1

• numpy == 1.20.0

• faiss-gpu ==1.7.2

• pandas == 1.3.4

LightGCN backbone

For models with LightGCN as backbone, For example:

yelp2018

python PAAC_main.py --dataset_name yelp2018 --layers_list '[5]' --cl_rate_list '[10]' --align_reg_list '[1e3]' --lambada_list '[0.8]' --gama_list '[0.8]'

gowalla

python PAAC_main.py --dataset_name gowalla --layers_list '[6]' --cl_rate_list '[5]' --align_reg_list '[50]' --lambada_list '[0.2]' --gama_list '[0.2]'