In graph-structured data, the node content contains rich information. Therefore, how to effectively utilize is crucial improve performance of graph convolutional networks (GCNs) on various analytical tasks. However, current GCNs do not fully content, especially multi-order content. For example, attention (GATs) only focus low-order while high-order completely ignored. To address this issue, we ...