Jianmin Huang

Judge and Improve: Towards a Better Reasoning of Knowledge Graphs with Large Language Models

Graph Neural Networks (GNNs) have shown immense potential in improving the performance of large-scale models by effectively incorporating structured relational information. However, current approaches face two key challenges: (1) achieving robust semantic alignment between graph representations and