Cross-modal brain networks characterize the complex connections between different brain regions from both functional and structural perspectives, which is of significant importance for brain network analysis and the diagnosis of brain diseases. However, existing methods have failed to fully exploit the complementary in...
Jing-Xi Feng, He-Ming Xu, Rundong Xue et al.· Proceedings of the Thirty-Fi...· 0 citations
A dual-hypergraph-based retrieval-augmented generation (RAG) framework that organizes pedagogical knowledge as a concept hypergraph and real student mistake cases as an instance hypergraph, MisEdu-RAG demonstrates strong potential for scalable teacher training and AI-assisted instruction for misconception handling.
Zhihan Guo, Rundong Xue, Yuting Lu et al.· International Conference on...· 0 citations
This paper formalizes the document structure as a Multimodal Hypergraph, utilizing hyperedges as unified semantic containers to encapsulate multi-way associations across text, images, and tables, thereby transcending point-to-point modeling and introducing an Anchor-driven Incremental Refinement mechanism.
Shenao Chen, Yidan Xu, Xiangmin Han et al.· 0 citations
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