Generating Graph-like Rules for Knowledge Graph Reasoning via Diffusion Models

In three linesGRiD, a diffusion-model framework, generates graph-like rules for knowledge graph reasoning. Combines supervised pre-training and reinforcement learning to discover complex rules (cycles, branches) beyond simple chains. Evaluated on 6 benchmarks with open-source code.

Summary generated by Claude — human-verified