Implementation of SACL: Siamese Adaptive Contrastive Learning for Recommendation
This implementation is based on SELFRec where you can understand the framework of this project.
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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