Graph Edit Networks.
B. Paassen, D. Grattarola, D.Zambon, C. Alippi, B. Hammer.
International Conference on Learning Representations (2021).
Code
Graph Neural Networks in TensorFlow and Keras with Spektral.
D. Grattarola, C. Alippi.
Graph Representation Learning and Beyond Workshop @ ICML (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
Spectral Clustering with Graph Neural Networks for Graph Pooling.
F. M. Bianchi*, D. Grattarola*, C. Alippi.
International Conference on Machine Learning (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 (2021).
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
Deep Feature Extraction for Sample-Efficient Reinforcement Learning.
D. Grattarola.
Master's thesis (2017).
Code
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