Conference papers
Learning graph cellular automata.D. Grattarola, L. Livi, C. Alippi.
Neural Information Processing Systems (NeurIPS 2021).
Code Poster
Graph edit networks.
B. Paassen, D. Grattarola, D. Zambon, C. Alippi, B. Hammer.
International Conference on Learning Representations (ICLR 2021).
Code
Spectral clustering with graph neural networks for graph pooling.
F. M. Bianchi*, D. Grattarola*, C. Alippi.
International Conference on Machine Learning (ICML 2020).
Code (TF/Keras) Code (PyTorch)
Autoregressive models for sequences of graphs.
D. Zambon*, D. Grattarola*, L. Livi, C. Alippi.
International Joint Conference on Neural Networks (IJCNN 2019).
Code DOI
Journal papers
XENet: using a new graph convolution to accelerate the timeline for protein design on quantum computers.J. B. Maguire, D. Grattarola, V. K. Mulligan, E. Klyshko, H. Melo.
PLOS Computational Biology (2021).
Code DOI
Graph neural networks in TensorFlow and Keras with Spektral.
D. Grattarola, C. Alippi.
Computational Intelligence Magazine (2020).
Code DOI
Hierarchical representation learning in graph neural networks with node decimation pooling.
F. M. Bianchi, D. Grattarola, L. Livi, C. Alippi.
IEEE Transactions on Neural Networks and Learning Systems (2020).
Code DOI
Graph neural networks with convolutional ARMA filters.
F. M. Bianchi, D. Grattarola, L. Livi, C. Alippi.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2021).
Code (TF/Keras) Code (PyTorch) DOI
Adversarial autoencoders with constant-curvature latent manifolds.
D. Grattarola, L. Livi, C. Alippi.
Applied Soft Computing (2019).
Code DOI
Change detection in graph streams by learning graph embeddings on constant-curvature manifolds.
D. Grattarola, D. Zambon, L. Livi, C. Alippi.
IEEE Transactions on Neural Networks and Learning Systems (2019).
Code DOI
Preprints
Understanding Pooling in Graph Neural Networks.D. Grattarola, D. Zambon, F. M. Bianchi, C. Alippi.
Preprint (2021).
Code
Seizure localisation with attention-based graph neural networks.
D. Grattarola, L. Livi, C. Alippi, R. Wennberg, T. A. Valiante.
Preprint (2021).
Others
Content-based approaches for cold-start job recommendations.M. Bianchi, F. Cesaro, F. Ciceri, M. Dagrada, A. Gasparin, D. Grattarola, I. Inajjar, A. M. Metelli, L. Cella.
Proceedings of the ACM Recsys Challenge (2017).
DOI
* Equal contribution