SACL

Implementation of SACL: Siamese Adaptive Contrastive Learning for Recommendation

Prerequisites

This implementation is based on SELFRec where you can understand the framework of this project.

conda enviroment:
pytorch 1.8.0 cuda 11.1 recommended
for calculate sparse matrix, install the following packages in: https://pytorch-geometric.com/whl/
torch_sparse=0.6.12 torch_scatter=2.0.8
pip install -r requirements.txt

Name		Name	Last commit message	Last commit date
Latest commit History 53 Commits
base		base
conf		conf
data		data
dataset		dataset
model		model
util		util
README.md		README.md
main.py		main.py
requirements.txt		requirements.txt