rllm-team / rllm
Pytorch Library for Relational Table Learning with LLMs.
Why this job: works in the areas we cover, but does not say which job it does
What it does
- LLM-friendly. Modular interface designed for LLM-oriented applications, integrating smoothly with LangChain and Hugging Face transformers.
- One-Fit-All Potential. Processes various graphs (like Social/Citation/E-commerce Networks) by treating them as multiple tables linked by foreigner keys.
- Novel Datasets. Introduces three new relational table datasets useful for RTL model design. Includes the standard classification task, with examples.
- Community Support. Maintained by students and teachers from Shanghai Jiao Tong University and Tsinghua University. Supports the SJTU undergraduate course "Content Understanding (NIS4301)" and the graduate course "Social Network Analysis (NI
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 28 days ago
- Stars
- 441
- On GitHub
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 94% closed
- 1 still open
- Pull requests
- 254 merged
- 9 waiting
- Releases
- None
- Never published
- No contributing guide
- No security policy
- No code of conduct
Similar repos
| Repo | Stars | Last commit | Licence | Downloads for |
|---|---|---|---|---|
| THUMNLab / AutoGL | 1,143 | 11 months ago | Apache-2.0 | No downloads |
| RingBDStack / SocialED | 594 | 43 days ago | BSD-2-Clause | No downloads |
| LukasZahradnik / PyNeuraLogic | 315 | 21 days ago | MIT | No downloads |
More: languages, topics and project record
Languages
- Python 100%
Topics
- llm
- deep-learning
- graph-neural-networks
- pytorch
- tabular-learning
- relational-table-learning
Project record
- JobOther AI tools
- StatusListed
- Commits883
- Forks35
- Watching3
- Stars in 28 days0
- CreatedFeb 17, 2024
- First seen by usNov 7, 2026
- CheckedNov 8, 2026