unsupervised-graph-embeddings
Code to test the semantic content of unsupervised graph embeddings.
get_features.pycontains functions to extract features from graph using networkx ;eval.pycontains functions to evaluate pre-trained graph embeddings ;
Cite
Please cite the associated papers for this work if you use this code:
@inproceedings{bonner2017evaluating,
title={Evaluating the quality of graph embeddings via topological feature reconstruction},
author={Bonner, Stephen and Brennan, John and Kureshi, Ibad and Theodoropoulos, Georgios and McGough, Andrew Stephen and Obara, Boguslaw},
booktitle={2017 IEEE International Conference on Big Data (Big Data)},
pages={2691--2700},
year={2017},
organization={IEEE}
}
@article{bonner2019exploring,
title={Exploring the Semantic Content of Unsupervised Graph Embeddings: An Empirical Study},
author={Bonner, Stephen and Kureshi, Ibad and Brennan, John and Theodoropoulos, Georgios and McGough, Andrew Stephen and Obara, Boguslaw},
journal={Data Science and Engineering},
volume={4},
number={3},
pages={269--289},
year={2019},
publisher={Springer}
}