Modeling Authorial Style in Urdu Novels Using Character Interaction Graphs and Graph Neural Networks

This article describes a research paper that applies graph-based machine learning techniques to analyze and model the writing style of authors in Urdu novels. The use of character interaction graphs and graph neural networks suggests a novel approach to understanding stylistic elements within the text. The focus on Urdu novels indicates a specific application to a less-explored language and literary tradition, which is interesting. The source being ArXiv suggests this is a preliminary or pre-print publication, so further peer review and validation would be needed to assess the robustness of the findings.

• •Applies graph-based machine learning to analyze authorial style.
• •Focuses on Urdu novels, a less-explored literary domain.
• •Uses character interaction graphs and graph neural networks.
• •Published on ArXiv, indicating a pre-print or preliminary publication.