Traces graph isomorphism software
ID: traces-graph-isomorphism-software
Traces is software for computing graph automorphisms and canonical graph labeling, developed by Adolfo Piperno and distributed with nauty. A canonical result permits two graphs to be compared without depending on their input vertex names. Traces uses individualization-refinement graph search, with strategies designed to reduce the explored search space.[ref]
Search Space Contraction in Canonical Labeling of Graphs by Adolfo Piperno. Abstract and introduction, Traces and the search-space design
Refinement groups vertices according to structural information, including their numbers of neighbors in existing vertex classes. When this does not distinguish all vertices, individualization temporarily gives a selected vertex its own class and refinement continues. Discovering equivalent choices and distinguishing branches can avoid repeated work; the validity of the framework and implementation strategies are developed with Brendan McKay.[ref]
Practical graph isomorphism, II by Brendan D. McKay and Adolfo Piperno. Framework and Traces implementation
An original example shows why a coarse invariant is insufficient. A cycle on6vertices and two separate triangles both have6vertices and every vertex has2neighbors. Starting with one vertex class, neighbor-count refinement leaves one class in both cases. Yet the graphs are not isomorphic: one is connected and the other is not. Their correct canonical graph encodings must therefore differ.
Conversely, two differently numbered copies of the same6-cycle should give the same canonical result when processed with the same canonicalization convention. The example illustrates the required behavior, not a benchmark of a particular Traces version.
Performance depends on the graph family and search strategy. The practical success of the program does not by itself establish a polynomial worst-case bound for graph isomorphism. A reproducible comparison should keep the canonicalization settings consistent rather than assume all programs must choose an identical representative.
New to topics? Read the docs here!