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