Graph Partitioning and Graph Neural Network based Hierarchical Graph Matching for Graph Similarity Computation

16 May 2020Haoyan XuZiheng DuanJie FengRunjian ChenYida HuangYueyang Wang

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, \textit{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... (read more)

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