Knowledge graphs (KGs) can help enhance recommendation, especially for the data-sparsity scenario with limited user-item interaction data. Due to strong power of representation learning graph neural networks (GNNs), recent works KG-based recommendation deploy GNN models learn from both knowledge and bipartite graph. However, these have not well considered hierarchical structure graph, leading s...