Graph similarity and alignment determination

Abstract

A computing system and methods for aligning process graph representations and processing multi-representational datasets are disclosed. A first process graph representation is aligned with a second reference process graph representation using a matcher implemented in a matcher code module. A similarity evaluation is performed at one or more levels of process abstraction, and process-wide metrics are generated to assess overall alignment quality. A user interface renders the metric results and allows user modification of alignment parameters or element correspondences. Additionally, a dataset with at least two representations is processed to generate embedding vectors using different embedding techniques. The embedding vectors are combined into a hybrid vector representation, which is analyzed to determine a similarity measure relative to an input query. Search results are rendered based on the similarity measure. The disclosed techniques improve alignment accuracy, computational efficiency, and the relevance of search results in multi-representational datasets.