The GRiD framework enhances knowledge graph reasoning by generating complex graph-like rules, addressing limitations of traditional rule mining methods. Its innovative approach combines supervised pre-training and reinforcement learning, showing competitive performance in knowledge graph completion tasks across multiple datasets.