AINeutralarXiv – CS AI · Mar 24/107
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Language Models as Messengers: Enhancing Message Passing in Heterophilic Graph Learning
Researchers propose LEMP4HG, a new language model-enhanced approach for improving graph neural networks on heterophilic graphs where connected nodes have different characteristics. The method leverages language models to better understand semantic relationships between text-attributed nodes, outperforming existing methods while maintaining efficiency through selective message enhancement.