https://github.com/imsheridan/cogdl-tensorflow

CogDL-TensorFlow: The TensorFlow Implementation of CogDL. With Support from Professor Jie Tang.
https://github.com/imsheridan/cogdl-tensorflow

deep-learning graph-embedding graph-neural-networks tensorflow tensorflow2

Last synced: 25 days ago
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CogDL-TensorFlow: The TensorFlow Implementation of CogDL. With Support from Professor Jie Tang.

• Host: GitHub
• URL: https://github.com/imsheridan/cogdl-tensorflow
• Owner: imsheridan
• License: mit
• Created: 2019-12-22T16:07:43.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2020-01-17T03:42:16.000Z (over 5 years ago)
• Last Synced: 2025-03-31T16:59:23.795Z (2 months ago)
• Topics: deep-learning, graph-embedding, graph-neural-networks, tensorflow, tensorflow2
• Language: Python
• Homepage: http://keg.cs.tsinghua.edu.cn/cogdl/
• Size: 652 KB
• Stars: 81
• Watchers: 5
• Forks: 19
• Open Issues: 5
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# CogDL-TensorFlow

```CogDL-TensorFlow```: The TensorFlow Implementation of [CogDL](http://keg.cs.tsinghua.edu.cn/cogdl/). With Support from Professor [Jie Tang](https://weibo.com/jietangthu).

# CogDL

![CogDL](docs/source/_static/cogdl-logo.png)

```CogDL``` is a graph representation learning toolkit that allows researchers and developers to easily train and compare baseline or custom models for node classification, link prediction and other tasks on graphs. It provides implementations of many popular models, including: 

 * non-GNN Baselines like Deepwalk, LINE, NetMF;

 * GNN Baselines like GCN, GAT, GraphSAGE.

 ![CogDL-Overview](docs/source/_static/cogdl-overview.png)

## Getting Started

## Requirements and Installation

- TensorFlow version >= 2.0.0

- Python version >= 3.6

```bash

pip install -e .

```

## Usage

You can use `python scripts/train.py --task example_task --dataset example_dataset --model example_method` to run example_method on example_data and evaluate it via example_task.

# Discussion Group

```CogDL-TensorFlow``` is still under planning. Guys who are interesting in working on this project, welcome to add my wechat below and join our discussion group.