giannisnik / Cnn Graph Classification
A convolutional neural network for graph classification in PyTorch
Stars: ✭ 84
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Kernel Graph Convolutional Neural Networks
Code for the paper Kernel Graph Convolutional Neural Networks.
Requirements
Code is written in Python 3.6 and requires:
- PyTorch 0.3
- NetworkX 1.11
- igraph 0.7
- scikit-learn 0.18
Datasets
Use the following link to download datasets:
https://ls11-www.cs.tu-dortmund.de/staff/morris/graphkerneldatasets
Extract the datasets into the datasets folder.
Run the model
First, specify the dataset and the hyperparameters in the main.py file. Then, use the following command:
$ python main.py
Cite
Please cite our paper if you use this code:
@inproceedings{nikolentzos2018kernel,
title={Kernel Graph Convolutional Neural Networks},
author={Nikolentzos, Giannis and Meladianos, Polykarpos and Tixier, Antoine Jean-Pierre and Skianis, Konstantinos and Vazirgiannis, Michalis},
booktitle={International Conference on Artificial Neural Networks},
pages={22--32},
year={2018},
organization={Springer}
}
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