Layout Graph

Layout graphs represent the structural organization of diverse data, from document layouts and graphical user interfaces to floor plans and argumentation frameworks, aiming to improve analysis and manipulation of these structures. Current research focuses on developing efficient algorithms for graph layout generation and optimization, often employing graph neural networks, transformers, and stochastic gradient descent to address challenges like overlap removal and constraint satisfaction. These advancements have significant implications for various fields, enabling improved document analysis, automated design tools, and more effective visualization of complex information.

Papers