Autocorrect is a feature commonly used on cell phones and computers. This project delves into the mechanisms behind autocorrect. While the model implemented here is not identical to the one on your ...

Repository of code of the article "Graph Node Matching for Edit Distance", Pattern Recognition Elsevier. This repo contains a supervised metric learning approach that combines Graph Neural ...

Graph matching and edit distance algorithms form a cornerstone of modern computational techniques used to quantify the similarity between structured data. These methods underpin a wide array of ...

Abstract: Graph edit distance is one of the most flexible and general graph matching models available. The major drawback of graph edit distance, however, is its computational complexity that ...

Abstract: This paper investigates the use of CodeBERT, a well-known large-scale language model (LLM) for program code, in computing code edit distance, an important aspect of software development. We ...