Your English writing platform
Discover LudwigSuggestions(2)
Exact(1)
This algorithm is designed in such a way that it selects the common features between two graphs using bit strings.
Similar(57)
The chemical structure similarity between the compounds was computed using the SIMCOMP algorithm [ 34], which represents the 2D chemical structures as graphs and calculates a similarity score between the compounds based on the size of the common substructures between the two graphs using the Jaccard coefficient, also known as the Tanimoto coefficient.
A multi-objective function is used to reflect the similarity between two graphs.
Firstly, we give the following definitions of the order " (or )" between two graphs or two sets of graphs.
At a few points, we'll speak of bisimulation between two graphs G and H, rather than on a single graph.
Let d(G1, G2) denote the graph edit distance between two graphs.
NetMatch [ 35] is based on a graph-matching algorithm that aims to find the correspondences between two graphs.
We could now compute the similarity between the representative graphs using a graph kernel.
The global dissimilarity function between the two graphs is minimized using randomized tree search and genetic algorithms.
We computed the chemical structure similarities between compounds using SIMCOMP (Hattori et al., 2003), where SIMCOMP provides a global similarity score based on the size of the common substructures between two compounds using a graph alignment algorithm.
Calculation of the shortest path between two compounds using the reaction graph considers the two links that join two compounds to a reaction as a single link.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com