English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Tools annual

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

Symmetries of combinatorial objects are known to complicate searchalgorithms, but such obstacles can often be removed by detecting symmetriesearly and discarding symmetric subproblems. Canonical labeling of combinatorialobjects facilitates easy equivalence checking through quick matching. Allexisting canonical labeling software also finds symmetries, but the fastestsymmetry-finding software does not perform canonical labeling. In this work, wecontrast the two problems and dissect typical algorithms to identify theirsimilarities and differences. We then develop a novel approach to canonicallabeling where symmetries are found first and then used to speed up thecanonical labeling algorithms. Empirical results show that this approachoutperforms state-of-the-art canonical labelers.

Graph Symmetry Detection and Canonical Labeling: Differences and Synergies