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