alibaba/GraphTranslator

GraphTranslator:Aligning Graph Model to Large Language Model for Open-ended Tasks

43
/ 100
Emerging

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.

graph-analysis academic-research information-retrieval semantic-search knowledge-graphs
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 17 / 25

How are scores calculated?

Stars

118

Forks

19

Language

Python

License

BSD-3-Clause

Last pushed

Aug 27, 2024

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/transformers/alibaba/GraphTranslator"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.