Graph attention convolutional networks for interpretable multi-hop knowledge graph reasoning

Hao Liu

doi:10.1016/j.ipm.2025.104581

Graph attention convolutional networks for interpretable multi-hop knowledge graph reasoning

2025-12-30

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DOI：10.1016/j.ipm.2025.104581

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• Joint inference strategy for multi-hop link prediction. • Graph attention convolutional mechanism for context-neighborhood interaction. • Joint optimization of reasoning accuracy and path interpretability.

Graph attention convolutional networks for interpretable multi-hop knowledge graph reasoning

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