EGGS (Extended Group-based Graphical-models for Spam) is an approach that combines multiple relational-modeling techniques, specifically stacked graphical learning (SGL) and probabilistic graphical modeling (PGM), on top of a traditional classifier; the result is a comprehensive model that can flexibly capture any independent and/or relational signal in the data.

1. Clone or fork this repository.
2. Install dependencies:
   • Install Python >= 3.5.
     • Install packages using requirements.txt.
   • Probabilistic Soft Logic LINK
     • Requires Java 8.
     • Install the package pslpython.
   • Libra LINK

@article{brophy2020eggs,
  title={Eggs: A flexible approach to relational modeling of social network spam},
  author={Brophy, Jonathan and Lowd, Daniel},
  journal={arXiv preprint arXiv:2001.04909},
  year={2020}
}