This repository contains the source code of the AAAI-2024 paper "Graph Bayesian Optimization for Multiplex Influence Maximization"
Simply run the following command to test the GBIM in Multi-IC of the lastfm dataset with k=5.
python main.py
more data are in data.zip, you can download it from here and unzip it into ./data
To use these data, you need to first run
python datasample.py -d ciao -dm LT -k 5
to generate the initial training data D,
then run
python main.py -d ciao -dm LT -k 5
ciao is one dataset in [ciao, epinions, delicous, lastfm]
dm [LT, IC]
k is the seed set size
Please cite our paper if it is helpful to your work.
@inproceedings{yuan2024graph,
title={Graph Bayesian Optimization for Multiplex Influence Maximization},
author={Yuan, Zirui and Shao, Minglai and Chen, Zhiqian},
booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
volume={38},
number={20},
pages={22475--22483},
year={2024}
}