JonnyTran / MultiOmicsGraphEmbedding Public

Notifications You must be signed in to change notification settings
Fork 0
Star 3

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.

3 stars 0 forks Branches Tags Activity

Notifications

Name		Name	Last commit message	Last commit date
Latest commit History 3,662 Commits
.github/workflows		.github/workflows
moge		moge
run		run
tests		tests
.gitignore		.gitignore
MANIFEST.in		MANIFEST.in
README.md		README.md
mlm.slurm		mlm.slurm
requirements.txt		requirements.txt
setup.py		setup.py
sweep.slurm		sweep.slurm

Repository files navigation

MultiOmicsGraphEmbedding

Installation

$ pip install git+https://github.com/JonnyTran/MultiOmicsGraphEmbedding

Package structure:

moge

network
generator
module (PyTorch)
model (Tensorflow/Keras)
evaluation
visualization
utils

About

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.

Report repository

Releases

No releases published

Packages

No packages published

Contributors 2

Languages

Python 99.7%
Other 0.3%