This is our Tensorflow implementation for the paper "Multi-aspect Graph Contrastive Learning for Review-enhanced Recommendation". The code has been tested running under Python 3.6.5. The required packages are as follows:
- tensorflow == 1.10.0
- numpy == 1.19.5
- scipy == 1.5.2
- sentence-transformers == 0.4.1.2
python data/data_preprocessing.py
- Dataset: Amazon Product Review dataset/Digital Music
- Download S-BERT model all-MiniLM-L6-v2
- generate
data.pklandDigital_Music.csv
python model/MAGCL.py
- model type: MAGCL-dec-5