RAE

This is source code for

@inproceedings{RAE,
author = {Zhao, Sibo and Bewong, Michael and Kwashie, Selasi and Hu, Junwei and Feng, Zaiwen},
title = {RAE: A Rule-Driven Approach for Attribute Embedding in Property Graph Recommendation},
year = {2025},
url = {https://doi.org/10.1007/978-3-032-06106-5_2},
keywords = {Recommendation Systems, Property Graphs, Rule Mining, Attribute Embedding, Graph Convolutional Network},
location = {Porto, Portugal}
}

Mine Rules

For rule mining, check the following repository: RefExternalKG

Generate Embedding

To generate the embedding, run the following command:

python rae.py --d 128 --full 0 --t 5 --data <dataset_name> --kappa 1024

Train

To train the model, use the following command:

python Rae_gcn.py --dataset <dataset_name>