Graph similarity learning is a significant and fundamental issue in the theory analysis of graphs, which has been applied variety fields, including object tracking, recommender systems, search, etc. Recent methods for graph that utilize deep typically share two deficiencies: (1) they leverage neural networks as backbones representations but have not well captured complex information inside data...