Product Graph-based Higher Order Contextual Similarities for Inexact Subgraph Matching.

Pattern Recognition(2018)

引用 21|浏览35
暂无评分
摘要
•Contextual Similarities are proposed using Tensor Product Graph for graph matching.•CS are obtained by diffusing the pairwise ones in the context of entire graph.•Graph matching is formulated as a function of CS & solved with a linear programming.•Well defined constraints are used to guide the node and edge selection procedure.
更多
查看译文
关键词
Subgraph matching,Product graph,Random walks,Backtrackless walks,Contextual similarities,Graphic recognition
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要