Encode Geometric Diagram as Geo-Graph in Geometry Problem Solving
Wenjun Wu, Lingling Zhang, Bo Zhao, Bo Li, Xinyu Zhang, Yaqiang Wu
Abstract
Geometry Problem Solving has become a hot topic these years due to its complexity of enabling the machine with geometric abstraction, multi-modal reasoning and mathematical capabilities. Majority of research works place their attention on the fusion of multi-modal data or the synergistic combination of neural and symbolic systems for performance improvement. However, their neglect of the unique characteristics of geometric diagrams, which distinguish them from natural images, impedes the further exploring of critical information in geometric diagrams. In this work, we introduce the novel concept of geo-graph and propose the Geo-Graph Geometry Problem Solving model which encodes the geometric diagram from a new perspective. The geo-graph is designed to include semantic, structural and spatial information in the diagram, which is crucial to subsequent problem reasoning stage. To facilitate the model
BibTeX
@inproceedings{aaai2026_encodegeometricd,
title = {Encode Geometric Diagram as Geo-Graph in Geometry Problem Solving},
author = {Wenjun Wu and Lingling Zhang and Bo Zhao and Bo Li and Xinyu Zhang and Yaqiang Wu},
booktitle = {AAAI 2026},
year = {2026}
}