FFNSL: Feed-Forward Neural-Symbolic Learner

FFNSL experiments to support the paper "FFNSL: Feed-Forward Neural-Symbolic Learner". This code has been tested on MacOSX Big Sur 11.6.1.

Dependencies

• python >= 3.7
• ILASP including clingo.
• FastLAS
• Graphviz

Installation

From the project root:

1. pip install -r requirements.txt
2. python setup.py

Data and Neural Network weights

Data and pre trained models are available to download here. Extract the zip folder and copy the files into the directory tree.

To run paper experiments

Refer to the run_experiments.md file in each example directory. Results presented in the FFNSL paper are available in the paper_results folder of each example.