From Message Passing to Prompting: Rethinking Graph Learning with Large Language Models

Abstract excerpt

Graph Neural Networks (GNNs) and Large Language Models (LLMs) have each emerged as dominant paradigms in machine learning, excelling respectively in structured relational reasoning and language-based generalization. GNNs are uniquely suited for learning over graph-structured data by leveraging local connectivity and relational inductive biases, finding widespread application in domains such as chemistry, social ne...

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• Algorithms
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Identifiers and source

Literature Corpus work

45bfd548-d55c-5915-8501-c86d2fe11d19

DOI

10.20944/preprints202507.1774.v1