Haoxiang Cheng
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126
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2026
Generating Graph-like Rules for Knowledge Graph Reasoning via Diffusion Models
The paper proposes GRiD, a novel framework that uses a two-phase training strategy (supervised pre-training and RL fine-tuning) to discover complex, graph-like rules for knowledge graph reasoning, overcoming limitations of existing methods.
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cs.AIRecentMay 29, 2026
Generating Graph-like Rules for Knowledge Graph Reasoning via Diffusion Models
Haoxiang Cheng, Yunfei Wang, Chao Chen, Kewei Cheng +4 more
The paper proposes GRiD, a novel framework that uses a two-phase training strategy (supervised pre-training and RL fine-tuning) to discover complex, graph-like rules for knowledge graph reasoning, ove…
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