rllm-team/rllm
Pytorch Library for Relational Table Learning with LLMs.
This is a developer-focused library that helps machine learning engineers build advanced models for analyzing complex datasets. It takes various graph and tabular data structures, often linked by common identifiers, and produces highly accurate predictions or insights. It's used by machine learning researchers and practitioners who need to combine graph neural networks and large language models for tasks like classification or relationship inference.
440 stars.
Use this if you are a machine learning engineer working with relational tables and need a flexible framework to experiment with combining graph neural networks, large language models, and tabular neural networks.
Not ideal if you are a business user looking for a no-code solution or a data analyst who doesn't work directly with machine learning model development in PyTorch.
Stars
440
Forks
34
Language
Python
License
MIT
Category
Last pushed
Mar 11, 2026
Commits (30d)
0
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