Apr 21, 2024 · Graph4GUI exploits graph neural networks to capture individual elements' properties and their semantic-visuo-spatial constraints in a layout.

May 11, 2024 · A novel graph representation for GUIs, Graph4GUI, which incorporates GUI element properties such as textual content, visual appearance, and ...

Graph4GUI is a graph-based GUI representation that captures the connections between GUI element properties and constraints.

Graph4GUI exploits graph neural networks to capture individual elements' properties and their semantic—visuo-spatial constraints in a layout to seize ...

How to extract and represent the data attributes of graphical UIs is crucial for downstream tasks such as UI recognition [21], UI completion [16] , UI ...

Apr 22, 2024 · The Graph4GUI paper presents a novel approach to representing and modeling graphical user interfaces using graph neural networks.

Graph4GUI: Graph Neural Networks for Representing Graphical User Interfaces. In Pro- ceedings of the 2024 CHI Conference on Human Factors in Computing ...

Graph4GUI: Graph Neural Networks for Representing Graphical User Interfaces. Proceedings of the CHI Conference on Human Factors in Computing Systems, pp ...

Graph4GUI: Graph Neural Networks for Representing Graphical User Interfaces. Y Jiang, C Zhou, G Vikas, A Oulasvirta. Proceedings of the 2024 CHI Conference on ...

Representative Publications. Graph4GUI: Graph Neural Networks for Representing Graphical User Interfaces Yue Jiang, Changkong Zhou, Vikas Garg*, Antti ...