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Unsupervised learning of Eigenvector centrality with GNN

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  1. Train the network with Eigen-train-geo-real.ipynb.
  2. Test the trained model with Eigen-test.ipynb
  3. Change the dataset from "data" folder.

This is the official implementation of "Unsupervised Learning for Identifying High Eigenvector Centrality Nodes: A Graph Neural Network Approach", IEEE BigData, 2021.

To use this paper/ code, cite as below:

@INPROCEEDINGS{9671902,  
author={Rakaraddi, Appan and Pratama, Mahardhika},  
booktitle={2021 IEEE International Conference on Big Data (Big Data)},   
title={Unsupervised Learning for Identifying High Eigenvector Centrality Nodes: A Graph Neural Network Approach},   
year={2021},  
volume={},  
number={},  
pages={4945-4954},  
doi={10.1109/BigData52589.2021.9671902}}

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