jindeok / Linear_GF

(PyTorch implementation) An expremely simple & fast graph filtering for CF

Graph Filter (linear)

• Extremely faster implementation of linear low-pass graph filter part in GF-CF [Shen et al. CIKM'21]
• Specifically, we use sparse matrices & GPU acceleration for the inference
• You can find the original implementation of full GF-CF method in: https://github.com/yshenaw/GF_CF

Dependancy

• numpy
• Pytorch
• Scipy

Notes

• You can simply test & run cells in 'Graph Filtering (Light).ipynb'
• Our code provides 'MovieLens-1M', 'Yelp', 'Gowalla', and 'Amazon-Book' datasets
• One can possibly customize the code to implement batch inference-fashion based on your preference