Before revision:  With the framelet system, we can decompose the graph feature into low-pass and high-pass frequencies as extracted features for network training, which then defines a framelet-based graph convolution.
After revision:  We decompose an input graph into low-pass and high-pass frequencies as extracted features for network training, which then defines a framelet-based graph convolution.