To achieve this, we propose a novel graph matching method to estimate the similarity of two graphs.
we first utilize a graph convolutional neural network (GCN) (Kipf and Welling, 2016;Hamilton et al., 2017) to encode two graphs, say G 1 and G 2 , resulting in a list of entity embeddings for each graph.