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Jan, 2024
大规模异构图中基于大型语言模型的可扩展链接预测
Scalable Link Prediction on Large-Scale Heterogeneous Graphs with Large Language Models
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Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Xueqi Chen
TL;DR
这篇论文描述了如何将大规模语言模型应用于图学习,提出了LPNL(通过自然语言进行链接预测)框架来处理大规模异构图上的可扩展链接预测任务,并通过自我监督学习细调了基于T5模型的链接预测模型,实验证明LPNL在大规模图链接预测任务上表现出色。
Abstract
Exploring the application of
large-scale language models
to
graph learning
is a novel endeavor. However, the vast amount of information inherent in large graphs poses significant challenges to this process. This
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