A Dynamic Mapping Algorithm for Graph Isomorphism
The graph isomorphism problem is still an open question if it is NP-Complete or not. This paper proposed a dynamic mapping algorithm for graph isomorphism (DMAGI). DMAGI used Length-L path numbers as partition metrics which could divide not similar vertices into trivial cells easily. For those similar vertices, DMAGI took a dynamic mapping procedure. DMAGI was tested on graphs such as: random connected graphs, pseudo random k-regular graphs, regular rings, and regular 2D meshes. The results indicate that the time requirement of DMAGI dont increase exponentially with the graph size of all these types.
graph isomorphism algorithm DMAGI dynamic mapping pattern recognition
Lijun Tian Chaoqun Liu Jianquan Xie
Information Technology Department Hunan University of Finance and Economics No. 139, Fenglin 2nd Road, Changsha, 410205, China
国际会议
重庆
英文
241-244
2011-01-21(万方平台首次上网日期,不代表论文的发表时间)