Citing

To cite the PyTorch GNN implementation please use the following publication:

Matteo Tiezzi, Giuseppe Marra, Stefano Melacci, Marco Maggini and Marco Gori (2020). "A Lagrangian Approach to Information Propagation in Graph Neural Networks; ECAI2020

Bibtex:

@article{tiezzi2020lagrangian,
  title={A Lagrangian Approach to Information Propagation in Graph Neural Networks},
  author={Tiezzi, Matteo and Marra, Giuseppe and Melacci, Stefano and Maggini, Marco and Gori, Marco},
  journal={arXiv preprint arXiv:2002.07684},
  year={2020}
}

To cite the Tensorflow GNN implementation please use the following publication:

Rossi, A., Tiezzi, M., Dimitri, G.M., Bianchini, M., Maggini, M., & Scarselli, F. (2018).
"Inductive–Transductive Learning with Graph Neural Networks",
In Artificial Neural Networks in Pattern Recognition (pp.201-212).
Berlin : Springer-Verlag.

Bibtex:

@inproceedings{rossi2018inductive,
  title={Inductive--Transductive Learning with Graph Neural Networks},
  author={Rossi, Alberto and Tiezzi, Matteo and Dimitri, Giovanna Maria and Bianchini, Monica and Maggini, Marco and Scarselli, Franco},
  booktitle={IAPR Workshop on Artificial Neural Networks in Pattern Recognition},
  pages={201--212},
  year={2018},
  organization={Springer}
}

To cite GNN please use the following publication:

F. Scarselli, M. Gori,  A. C. Tsoi, M. Hagenbuchner, G. Monfardini,
"The Graph Neural Network Model", IEEE Transactions on Neural Networks,
vol. 20(1); p. 61-80, 2009.

Bibtex:

@article{Scarselli2009TheGN,
  title={The Graph Neural Network Model},
  author={Franco Scarselli and Marco Gori and Ah Chung Tsoi and Markus Hagenbuchner and Gabriele Monfardini},
  journal={IEEE Transactions on Neural Networks},
  year={2009},
  volume={20},
  pages={61-80}
}