Before revision: Graph similarity computation aims to predict a similarity score between one pair of graphs so as to facilitate downstream applications, such as finding the chemical compounds that are most similar to a query compound or Fewshot 3D Action Recognition ,etc . Recently, some graph similarity computation models based on neural networks have been proposed, which are either based on graph-level interaction or node-level comparison.
After revision: Graph similarity computation aims to predict a similarity score between one pair of graphs so as to facilitate downstream applications, such as finding the most similar chemical compounds similar to a query compound or Fewshot 3D Action Recognition ,etc . Recently, some graph similarity computation models based on neural networks have been proposed, which are either based on graph-level interaction or node-level comparison.