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Oct 2026

Taming modality bias with counterfactual reasoning in multimodal knowledge graph completion.

Multimodal Knowledge Graph Completion (MMKGC) is critical for reasoning over sparse relational data enriched with visual and textual features. However, existing methods struggle to generalize in real-world scenarios due to two pervasive challenges: (1) inter-entity heterogeneity, where modality availability is highly i...

Bin Chen, Jin Wu, Han-Ting Shen et al. · 0 citations
#graph neural networks Open access Sep 2026

DSTGAT: A Spatio-Temporal Dynamic Graph Attention Network for User Activity Recognition

A dynamic graph learning module based on Gumbel-Softmax sampling is proposed to adaptively reconstruct the sensor adjacency matrix and a Talking-Head graph attention mechanism is employed to facilitate cross-head feature interaction, enhancing global semantic fusion.

Jia-Hao Wang, Mao-Quan Wang, Jin Wu et al. · 0 citations

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