gnns-playground

[🚀ONGOING] Collection of Graph Neural Networks

https://github.com/tianyuzelin/gnns-playground

Science Score: 54.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
    Links to: arxiv.org
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (11.6%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

[🚀ONGOING] Collection of Graph Neural Networks

Basic Info
  • Host: GitHub
  • Owner: tianyuzelin
  • License: gpl-3.0
  • Default Branch: main
  • Homepage:
  • Size: 31.9 MB
Statistics
  • Stars: 0
  • Watchers: 0
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 4 years ago · Last pushed over 4 years ago
Metadata Files
Readme License Citation

README.md

repo logo # 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-PyTorch Graph Convolutional Network (GCN) in PyTorch, similar to [paper]. 🚀

  • 2021-10-27 DGI-PyTorch Deep Graph Infomax (DGI) in PyTorch, similar to [paper]. ❌

  • 2021-10-28 GAE-PyTorch Graph Auto-Encoder (GAE) in PyTorch, similar to [paper]. ❌

Reference Models

  • 2021-10-22 GCN-tkipf Graph 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 update We 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

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"

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