Mincut Pooling in Graph Neural Networks.
F. M. Bianchi, D. Grattarola, C. Alippi.
Preprint (2019).
Autoregressive Models for Sequences of Graphs.
D. Zambon, D. Grattarola, L. Livi, C. Alippi.
International Joint Conference on Neural Networks (2019).
Graph Neural Networks with Convolutional ARMA Filters.
F. M. Bianchi, D. Grattarola, L. Livi, C. Alippi.
Preprint (2019).
Adversarial Autoencoders with Constant-Curvature Latent Manifolds.
D. Grattarola, L. Livi, C. Alippi.
Applied Soft Computing (2019).
DOI: 10.1016/j.asoc.2019.105511
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).
DOI: 10.1109/TNNLS.2019.2927301
Deep Feature Extraction for Sample-Efficient Reinforcement Learning.
D. Grattarola.
Master's thesis (2017).
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: 10.1145/3124791.3124793