Generalizable LLM Learning of Graph Synthetic Data with Post-training Alignment

Yizhuo Zhang, Heng Wang, Shangbin Feng +3

Previous research has sought to enhance the graph reasoning capabilities of LLMs by supervised fine-tuning on synthetic graph data. While these led to specialized LLMs better at so…