alibaba/GraphTranslator
GraphTranslator:Aligning Graph Model to Large Language Model for Open-ended Tasks
This project helps researchers and data scientists combine the structured insights from graph-based data with the rich understanding of large language models. It takes your graph model's node embeddings and associated text data, processes them through a 'translator,' and outputs predictions or insights that leverage both graph structure and natural language. Researchers working with complex networked data, like academic citations or social networks, would find this particularly useful for tasks that require both relationship understanding and textual interpretation.
118 stars. No commits in the last 6 months.
Use this if you need to perform open-ended tasks that require understanding both the connections within graph data and the natural language context of its elements.
Not ideal if your task does not involve graph data or if you only need standard natural language processing without graph context.
Stars
118
Forks
19
Language
Python
License
BSD-3-Clause
Category
Last pushed
Aug 27, 2024
Commits (30d)
0
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