Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Update README.md #471

Merged
merged 2 commits into from
Dec 21, 2024
Merged

Update README.md #471

Changes from 1 commit
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
b0983c6
Update README.md
akihironitta Dec 21, 2024
da62d04
Update README.md
akihironitta Dec 21, 2024
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -80,7 +80,7 @@ PyTorch Frame builds directly upon PyTorch, ensuring a smooth transition for exi
Comes with a collection of readily-usable tabular datasets. Also supports custom datasets to solve your own problem.
We [benchmark](https://github.com/pyg-team/pytorch-frame/blob/master/benchmark) deep tabular models against GBDTs.
- **PyTorch integration**:
Integrates effortlessly with other PyTorch libraries, facilitating end-to-end training of PyTorch Frame with downstream PyTorch models. For example, by integrating with [PyG](https://pyg.org/), a PyTorch library for GNNs, we can perform deep learning over relational databases. Learn more in [RelBench](https://relbench.stanford.edu/) and [example code (WIP)](https://github.com/snap-stanford/relbench/blob/main/examples/gnn.py).
Integrates effortlessly with other PyTorch libraries, facilitating end-to-end training of PyTorch Frame with downstream PyTorch models. For example, by integrating with [PyG](https://pyg.org/), a PyTorch library for GNNs, we can perform deep learning over relational databases. Learn more in [RelBench](https://relbench.stanford.edu/) and [example code)](https://github.com/snap-stanford/relbench/blob/main/examples/).
akihironitta marked this conversation as resolved.
Show resolved Hide resolved

## Architecture Overview

Expand Down
Loading