Towards Versatile Graph Learning Approach: from the Perspective of Large
Language Models
Towards Versatile Graph Learning Approach: from the Perspective of Large
Language Models
Graph-structured data are the commonly used and have wide application scenarios in the real world. For these diverse applications, the vast variety of learning tasks, graph domains, and complex graph learning procedures present challenges for human experts when designing versatile graph learning approaches. Facing these challenges, large language models (LLMs) …