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LinkGPT: Teaching Large Language Models To Predict Missing Links
June 10, 2024, 4:45 a.m. | Zhongmou He, Jing Zhu, Shengyi Qian, Joyce Chai, Danai Koutra
cs.LG updates on arXiv.org arxiv.org
Abstract: Large Language Models (LLMs) have shown promising results on various language and vision tasks. Recently, there has been growing interest in applying LLMs to graph-based tasks, particularly on Text-Attributed Graphs (TAGs). However, most studies have focused on node classification, while the use of LLMs for link prediction (LP) remains understudied. In this work, we propose a new task on LLMs, where the objective is to leverage LLMs to predict missing links between nodes in a …
abstract arxiv classification cs.lg graph graph-based graphs however language language models large language large language models links llms node results studies tags tasks teaching text type vision while
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