A Survey of Large Language Models on Generative Graph Analytics: Query, Learning, and Applications

arXiv:2404.14809v1 Announce Type: new
Abstract: A graph is a fundamental data model to represent various entities and their complex relationships in society and nature, such as social networks, transportation networks, financial networks, and biomedical systems. Recently, large language models (LLMs) have showcased a strong generalization ability to handle various NLP and multi-mode tasks to answer users' arbitrary questions and specific-domain content generation. Compared with graph learning models, LLMs enjoy superior advantages in addressing the challenges of generalizing graph tasks by …

abstract analytics applications arxiv biomedical cs.ai cs.cl cs.db data data model financial fundamental generative graph graph analytics language language models large language large language models llms nature networks query relationships social social networks society survey systems transportation type