https://github.com/jonnytran/multiomicsgraphembedding
A PyTorch-based package for representation learning on heterogeneous networks. It aims to facilitate experimentation on different GNN models, metrics, and datasets from PytorchGeometric, DGL, networkx.
https://github.com/jonnytran/multiomicsgraphembedding
Last synced: 2 months ago
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A PyTorch-based package for representation learning on heterogeneous networks. It aims to facilitate experimentation on different GNN models, metrics, and datasets from PytorchGeometric, DGL, networkx.
- Host: GitHub
- URL: https://github.com/jonnytran/multiomicsgraphembedding
- Owner: JonnyTran
- Created: 2018-04-28T01:10:56.000Z (about 7 years ago)
- Default Branch: master
- Last Pushed: 2023-02-23T06:02:47.000Z (about 2 years ago)
- Last Synced: 2024-04-30T09:26:20.109Z (about 1 year ago)
- Language: Python
- Homepage:
- Size: 126 MB
- Stars: 3
- Watchers: 1
- Forks: 0
- Open Issues: 1
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Metadata Files:
- Readme: README.md
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README
# MultiOmicsGraphEmbedding
## Installation
`$ pip install git+https://github.com/JonnyTran/MultiOmicsGraphEmbedding`
## Package structure:
moge
- network
- generator
- module (PyTorch)
- model (Tensorflow/Keras)
- evaluation
- visualization
- utils