CFRSSR

The official implementation of "Independent or Social Driven Decision? A Counterfactual Reinforcement Strategy for Graph-Based Social Recommendation"

Requirements:

• recbole==1.1.1
• pyg>=2.0.4
• pytorch>=1.7.0
• python>=3.7.0
• numba==0.53.1
• numpy==1.20.3
• scipy==1.6.2
• tensorflow==1.14.0

Instructions:

Run DiffNet on Ciao:

1. Run run_counterfactual_generation.py and set the parameter thresh to 3, 7 to generate counterfactual data.
2. Run weighted.py to generate weighted data.
3. Finally, run the run_main.py file to get the results.

Run MHCN on Douban:

1. Run run_counterfactual_generation.py and set the parameter thresh to 2, 1 to generate counterfactual data.
2. Paste the generated Douban_2, 1_influenced_inter_data_j.csv file into the /dataset/Douban folder.
3. Finally, run main.py to get the results.

Acknowledgements:

We would like to express our gratitude to Recbole and SELFRec for their outstanding work.

License

This project is licensed under the terms of the MIT license.