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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
GraphGallery is a gallery for benchmarking Graph Neural Networks
| Date | Stars |
|---|---|
| 2026-07-31 | 475 |
| 2026-08-05 | 475 |
| 2026-08-06 | 475 |
| 2026-08-13 | 475 |
| 2026-08-14 | 475 |
| 2026-08-18 | 475 |
| 2026-08-20 | 474 |
| 2026-08-22 | 474 |
| 2026-08-25 | 475 |
| 2026-09-20 | 475 |
Today
— stars today
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+1 stars this month
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<p align="center">
<img width = "700" height = "300" src="https://github.com/EdisonLeeeee/GraphGallery/blob/master/imgs/graphgallery.svg" alt="banner"/>
<br/>
</p>
<p align="center"><strong><em>PyTorch</em> is all you need!</strong></p>
<p align=center>
<a href="https://www.python.org/downloads/release/python-360/">
<img src="https://img.shields.io/badge/Python->=3.6-3776AB?logo=python" alt="Python">
</a>
<!-- <a href="https://github.com/tensorflow/tensorflow/releases/tag/v2.1.0">
<img src="https://img.shields.io/badge/TensorFlow->=2.1.0-FF6F00?logo=tensorflow" alt="tensorflow">
</a> -->
<a href="https://github.com/pytorch/pytorch">
<img src="https://img.shields.io/badge/PyTorch->=1.4-FF6F00?logo=pytorch" alt="pytorch">
</a>
<a href="https://pypi.org/project/graphgallery/">
<img src="https://badge.fury.io/py/graphgallery.svg" alt="pypi">
</a>
<a href="https://github.com/EdisonLeeeee/GraphGallery/blob/master/LICENSE">
<img src="https://img.shields.io/github/license/EdisonLeeeee/GraphGallery" alt="license">
</a>
</p>
# GraphGallery
GraphGallery is a gallery for benchmarking Graph Neural Networks (GNNs) based on pure [PyTorch](https://github.com/pytorch/pytorch) backend. Alteratively, [Pytorch Geometric (PyG)](https://github.com/pyg-team/pytorch_geometric) and [Deep Graph Library (DGL)](https://www.dgl.ai/) backend are also available in GraphGallery to facilitate your implementations.
# 💨 NEWS
+ November 20, 2021: We now no longer support `TensorFlow` backend.
+ November 20, 2021: The module `graphgallery.attack` is deprecated, users may refer to [GraphWar](https://github.com/EdisonLeeeee/GraphWar) for more information.
# 🚀 Installation
Please make sure you have installed [PyTorch](https://pytorch.org/). Also, [Pytorch Geometric (PyG)](https://github.com/pyg-team/pytorch_geometric) and [Deep Graph Library (DGL)](https://www.dgl.ai/) are alternative choices.
Install from source:
```bash
# Recommended
git clone https://github.com/EdisonLeeeee/GraphGallery.git && cd GraphGallery
pip install -e . --verbose
```
where `-e` means "editable" mode so you don't have to reinstall every time you make changes.
**NOTE**: GraphGallery is a frequently updated package and DO NOT install GraphGallery with `pip`, we're currently working on releasing a binary distribution on `PyPI`, stay tuned!
# 🤖 Implementations
In detail, the following methods are currently implemented:
## Node Classification
| Method | Author | Paper | PyTorch | PyG | DGL |
| ------------------------- | ----------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------ | ------------------ | ------------------ |
| **ChebyNet** | *Michaël Defferrard et al.* | [Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering (NeurIPS'16)](https://arxiv.org/abs/1606.09375) | :heavy_check_mark: | | |
| **GCN** | *Thomas N. Kipf et al.* | [Semi-Supervised Classification with Graph Convolutional Networks (ICLR'17)](https://arxiv.org/abs/1609.02907) | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: |
| **GraphSAGE** | *William L. Hamilton et al.* | [Inductive Representation Learning on Large Graphs (NeurIPS'17)](https://arxiv.org/abs/1706.02216) | :heavy_check_mark: | :hExcerpt of 20,037 characters
Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:11e8cc40ec908187, topic:pytorch