Leveraging Large Language Models to Enhance Graph Machine Learning Towards Graph Foundation Models

Leveraging the capabilities of Large Language Models (LLMs) can enhance Graph Machine Learning (Graph ML) towards the development of Graph Foundation Models (GFMs) by improving feature quality, alleviating reliance on labeled data, and addressing challenges such as graph heterogeneity and out-of-distribution generalization.