gnns-playground
[🚀ONGOING] Collection of Graph Neural Networks
Science Score: 54.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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✓Academic publication links
Links to: arxiv.org -
○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (11.6%) to scientific vocabulary
Repository
[🚀ONGOING] Collection of Graph Neural Networks
Basic Info
Statistics
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
# Playground of Graph Neural Networks
_Hey there! This will be my repo implementing/collecting GRAPH related DL models, with some tutorials and notes! **I will consistently update this repository**. Have fun!_
Environment
We recommend using jupyterlab for running and debugging. Most models have the complex package dependencies, we strongly recommend using Anaconda for package management and deployment. You can use the following command to create a conda environment similar to ours:
conda env create -f src/environment_droplet.yml
**Note that* we maintain and update our environment droplet consistently, so do stick to the latest one :-)
Models To-Do Lists
2021-10-22 GCN-PyTorchGraph Convolutional Network (GCN) in PyTorch, similar to [paper]. 🚀2021-10-27 DGI-PyTorchDeep Graph Infomax (DGI) in PyTorch, similar to [paper]. ❌2021-10-28 GAE-PyTorchGraph Auto-Encoder (GAE) in PyTorch, similar to [paper]. ❌
Reference Models
2021-10-22 GCN-tkipfGraph Convolutional Networks in PyTorch (Thomas Kipf) [repo]. Check out the [code folder] with Readme in this repo for notes and tutorials.
DataSets
2021-10-28 updateWe decide to use Open Graph Benchmark (OGB) as the only benchmarking protal for this project: [GitHub], [HomePage]. We are working on transfering the project dataset to the OGB dataset.
Miscellaneous
None
Cite
@software{Liu_Playground_of_Graph_2021,
author = {Liu, Jiaxu},
month = {10},
title = {{Playground of Graph Neural Networks}},
url = {https://github.com/ljxw88/GNNs-Implementation},
year = {2021}
}
Liscense
GPL-3.0
Owner
- Name: Guangsi SHI
- Login: tianyuzelin
- Kind: user
- Company: Monash Univeristy
- Repositories: 2
- Profile: https://github.com/tianyuzelin
Citation (CITATION.cff)
cff-version: 1.2.0
message: "If you use our code, please cite it as below."
authors:
- family-names: Liu
given-names: Jiaxu
orcid: https://orcid.org/0000-0001-8737-3106
title: "Playground of Graph Neural Networks"
# version:
# doi:
date-released: 2021-10-22
url: "https://github.com/ljxw88/GNNs-Implementation"