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redkg

Reinforcement learning on dynamic knowledge graphs

https://github.com/aimclub/redkg

Science Score: 31.0%

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
  • ○
    DOI references
  • ○
    Academic publication links
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (0.6%) to scientific vocabulary

Keywords

graph graphneuralnetwork knowledge-graph neural-network reinforcement-learning
Last synced: 6 months ago · JSON representation ·

Repository

Reinforcement learning on dynamic knowledge graphs

Basic Info
  • Host: GitHub
  • Owner: aimclub
  • License: bsd-3-clause
  • Language: Python
  • Default Branch: main
  • Homepage:
  • Size: 12.2 MB
Statistics
  • Stars: 26
  • Watchers: 5
  • Forks: 4
  • Open Issues: 0
  • Releases: 0
Topics
graph graphneuralnetwork knowledge-graph neural-network reinforcement-learning
Created about 3 years ago · Last pushed about 1 year ago
Metadata Files
Readme License Citation

.github/README.md

../README_en.md

Owner

  • Name: AIM.club, ITMO University
  • Login: aimclub
  • Kind: organization
  • Email: aim.club@itmo.ru
  • Location: St. Petersburg

Citation (CITATIONS.bib) 

@article{EGOROVA2022284,
title = {Customer transactional behaviour analysis through embedding interpretation},
author = {Elena Egorova and Gleb Glukhov and Egor Shikov},
journal = {Procedia Computer Science},
volume = {212},
pages = {284-294},
year = {2022},
doi = {https://doi.org/10.1016/j.procs.2022.11.012},
url = {https://www.sciencedirect.com/science/article/pii/S1877050922017033}
}

GitHub Events

Total
  • Watch event: 7
  • Member event: 1
  • Push event: 2
  • Pull request review event: 2
  • Pull request event: 4
  • Fork event: 1
Last Year
  • Watch event: 7
  • Member event: 1
  • Push event: 2
  • Pull request review event: 2
  • Pull request event: 4
  • Fork event: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 0
  • Total pull requests: 1
  • Average time to close issues: N/A
  • Average time to close pull requests: 5 days
  • Total issue authors: 0
  • Total pull request authors: 1
  • Average comments per issue: 0
  • Average comments per pull request: 0.0
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 1
  • Average time to close issues: N/A
  • Average time to close pull requests: 5 days
  • Issue authors: 0
  • Pull request authors: 1
  • Average comments per issue: 0
  • Average comments per pull request: 0.0
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
Pull Request Authors
  • yuraz28 (1)
  • DRMPN (1)
Top Labels
Issue Labels
Pull Request Labels
bug (1) documentation (1)

Dependencies

.github/workflows/gh_pages.yml actions
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  • actions/configure-pages v2 composite
  • actions/deploy-pages v1 composite
  • actions/upload-pages-artifact v1 composite
.github/workflows/linters.yml actions
  • actions/cache v2 composite
  • actions/checkout v2 composite
  • actions/setup-python v2 composite
.github/workflows/tests.yml actions
  • actions/checkout v3 composite
  • actions/setup-python v4 composite
requirements-dev.txt pypi
  • black * development
  • flake8 * development
  • flake8-docstrings * development
  • flake8-rst-docstrings * development
  • isort * development
  • mypy * development
  • pyproject-flake8 * development
  • pytest * development
  • pytest-cov * development
  • types-pkg_resources * development
requirements.txt pypi
  • networkx >=2.5.0
  • numpy >=1.15.4
  • pandas >=1.0.0
  • scikit-learn *
.github/workflows/mirror_repo_to_gitlab.yml actions
pyproject.toml pypi
setup.py pypi