Filtering graphs to check isomorphism and extracting mapping by using the Conductance Electrical Model

作者:

Highlights:

• The method uses the CEM to model the graphs and detect the isomorphic graphs.

• The time complexity for detecting non-isomorphic graphs of N degree is in most of the cases O(N3).The CEM can obtain the complete or partial node mapping between the graphs.

• The time complexity for detecting graphs isomorphism in the worst time complexity can be exponential with respect to the number of repeated star values.The detection and mapping of a graph isomorphism (excluding co-resistances) are clearly separated, which allows doing the filter process in two phases.

• The filter performs an early detection of non-isomorphic graphs.

• The filtering process is not probabilistic, not iterative neither recursive, so the computation complexity is deterministic and only depends on N.

• We do not need to calculate the pseudoinverse, we can compute the star resistance values by a sum of finite number of terms.

摘要

Highlights•The method uses the CEM to model the graphs and detect the isomorphic graphs.•The time complexity for detecting non-isomorphic graphs of N degree is in most of the cases O(N3).The CEM can obtain the complete or partial node mapping between the graphs.•The time complexity for detecting graphs isomorphism in the worst time complexity can be exponential with respect to the number of repeated star values.The detection and mapping of a graph isomorphism (excluding co-resistances) are clearly separated, which allows doing the filter process in two phases.•The filter performs an early detection of non-isomorphic graphs.•The filtering process is not probabilistic, not iterative neither recursive, so the computation complexity is deterministic and only depends on N.•We do not need to calculate the pseudoinverse, we can compute the star resistance values by a sum of finite number of terms.

论文关键词:Graph isomorphism,Graph matching,Conductances Equivalent Model,Star Method,Graph filter

论文评审过程:Received 18 August 2015, Revised 29 January 2016, Accepted 9 March 2016, Available online 17 March 2016, Version of Record 26 May 2016.

论文官网地址:https://doi.org/10.1016/j.patcog.2016.03.015