MAGCL

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

Data

python data/data_preprocessing.py

• Dataset: Amazon Product Review dataset/Digital Music
• Download S-BERT model all-MiniLM-L6-v2
• generate data.pkl and Digital_Music.csv

Run MAGCL

python model/MAGCL.py

• model type: MAGCL-dec-5