Papers with GNN encoder

1 papers
Large Language Models are Good Relational Learners (2025.acl-long)

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Challenge: Existing approaches to serialize large language models disregard critical relational structures and creates redundancies.
Approach: They propose a graph neural network encoder to create structured relational prompts for large language models within a retrieval-augmented generation framework.
Outcome: The proposed architecture preserves relational structure of databases while enabling LLMs to process and reason over complex entity relationships.

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