Graph convolutional network is now an effective tool to deal with non-Euclidean data, such as social behavior analysis, molecular structure and skeleton-based action recognition. kernel one of the most significant factors in graph networks extract nodes’ feature, some variants it have achieved highly satisfactory performance theoretically experimentally. However, there was limited research abou...