VectorGraphNET: Graph Attention Networks for Accurate Segmentation of Complex Technical Drawings
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Date
2025Author
Carrara, Andrea
Nousias, Stavros
Borrmann, André
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AbstractThis study introduces a new approach to extracting vector data from technical drawings
in Portable Document Format (PDF) format and analyzing them semantically by employing
graph attention networks. The proposed method involves converting PDF ...Practical ApplicationsTechnical drawings are essential for communication in the AEC industries; however,
manual analysis is often time-consuming and error prone. This study presents an efficient
method for automating the segmentation and analysis of ...