Deconstruction and Reconstruction of Intangi-ble Cultural Heritage Symbols Driven by GraphSAGE: Taking the Intelligent Generation of Bohai Mohe Embroidery Topological Patterns as an Example

Traditional methods struggle to capture the complex structure and cultural semantics of Bohai Mohe embroidery, leading to distortion in intelligent pattern generation. This study proposes a graph sample and aggregate (GraphSAGE)-based framework that models embroidery patterns as graphs, encoding visual symbols as nodes and connections. A two-layer GraphSAGE network extracts local stitching and global cultural features, followed by feature fusion and dynamic edge adjustment to generate structurally sound, culturally consistent patterns. Exper-iments on a custom dataset show high pattern symmetry consistency (0.881) and semantic fidelity (up to 0.970), demonstrating the method’s effectiveness in digitalizing intangible cultural heritage through structured modeling and multilevel feature perception.