safe-graph / GNN-FakeNews
A collection of GNN-based fake news detection models.
Why this job: works in the areas we cover, but does not say which job it does
What it does
This repo includes the Pytorch-Geometric implementation of a series of Graph Neural Network (GNN) based fake news detection models. All GNN models are implemented and evaluated under the User Preference-aware Fake News Detection (UPFD) framework. The fake news detection problem is instantiated as a graph classification task under the UPFD framework.
Get started
git clone https://github.com/safe-graph/GNN-FakeNews.git
cd GNN-FakeNews
pip install -r requirements.txt - Maintenance
- Inactive
- Last commit 11 months ago
- Stars
- 559
- +2 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 83% closed
- 4 still open
- Pull requests
- 1 merged
- 0 waiting
- Releases
- None
- Never published
- No contributing guide
- No security policy
- No code of conduct
More: languages, topics and project record
Languages
- Python 100%
Topics
- fakenewsdetection
- misinformation
- graphneuralnetwork
- machine-learning
- benchmarking
- social-media
- social-network-analysis
- deep-learning
Project record
- JobOther AI tools
- StatusListed
- Commits60
- Forks109
- Watching6
- Stars in 28 days+3
- CreatedMar 3, 2021
- First seen by usNov 7, 2026
- CheckedNov 8, 2026