Hi @XuShuwenn 🤗
I'm Niels and work as part of the open-source team at Hugging Face. I discovered your work through Hugging Face's daily papers as yours got featured: https://huggingface.co/papers/2603.28533.
The paper page lets people discuss about your paper and lets them find artifacts about it (I see you've already linked your GraphWalker-7B model!), and you can also claim the paper as yours which will show up on your public profile at HF, and add your GitHub link.
It's great to see that you've already hosted the GraphWalker-7B model on the Hub! Would you also like to host the datasets you've introduced (GraphSynth, GraphRoll, and the GraphWalkerBench benchmark) on https://huggingface.co/datasets?
Hosting on Hugging Face will give your work more visibility and enable better discoverability through metadata tags. It also allows the community to easily load your data via the datasets library:
from datasets import load_dataset
dataset = load_dataset("your-hf-org-or-username/GraphWalkerBench")If you're down, I'm leaving a guide here. Besides that, there's the dataset viewer which allows people to quickly explore the first few rows of the data in the browser.
After they are uploaded, we can also link the datasets to the paper page (read here) so people can discover your full suite of work.
Let me know if you're interested or need any guidance!
Kind regards,
Niels
Hi @XuShuwenn 🤗
I'm Niels and work as part of the open-source team at Hugging Face. I discovered your work through Hugging Face's daily papers as yours got featured: https://huggingface.co/papers/2603.28533.
The paper page lets people discuss about your paper and lets them find artifacts about it (I see you've already linked your GraphWalker-7B model!), and you can also claim the paper as yours which will show up on your public profile at HF, and add your GitHub link.
It's great to see that you've already hosted the
GraphWalker-7Bmodel on the Hub! Would you also like to host the datasets you've introduced (GraphSynth, GraphRoll, and the GraphWalkerBench benchmark) on https://huggingface.co/datasets?Hosting on Hugging Face will give your work more visibility and enable better discoverability through metadata tags. It also allows the community to easily load your data via the
datasetslibrary:If you're down, I'm leaving a guide here. Besides that, there's the dataset viewer which allows people to quickly explore the first few rows of the data in the browser.
After they are uploaded, we can also link the datasets to the paper page (read here) so people can discover your full suite of work.
Let me know if you're interested or need any guidance!
Kind regards,
Niels