AI Research
Generating Graph-like Rules for Knowledge Graph Reasoning via Diffusion Models
Leveraging diffusion models to uncover complex relational patterns in knowledge graphs
Logical rules constitute a cornerstone of knowledge graph (KG) reasoning, valued for their interpretability and ability to model relational patterns. However, existing rule mining methods predominantly focus on simple chain-like rules and therefore neglect the richer relational i...
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ArXiv CS.AI
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ArXiv CS.AI
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This research breaks the limitation of traditional chain-based rule mining by utilizing diffusion models to discover complex graph-like logical structures. By combining generative structural priors with reinforcement learning, it bridges the gap between non-differentiable rule quality metrics and effective model optimization.
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