Daniele Grattarola
TittelSitert avÅr
Graph neural networks with convolutional ARMA filters
FM Bianchi, D Grattarola, C Alippi, L Livi
arXiv preprint arXiv:1901.01343, 2019
202019
Content-Based Approaches for Cold-Start Job Recommendations
M Bianchi, F Cesaro, F Ciceri, M Dagrada, A Gasparin, D Grattarola, ...
Proceedings of the Recommender Systems Challenge 2017, 6, 2017
72017
Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds
D Grattarola, D Zambon, C Alippi, L Livi
IEEE Transactions on Neural Networks and Learning Systems, 2019
6*2019
Adversarial autoencoders with constant-curvature latent manifolds
D Grattarola, L Livi, C Alippi
Applied Soft Computing 81, 105511, 2019
42019
Mincut pooling in graph neural networks
FM Bianchi, D Grattarola, C Alippi
arXiv preprint arXiv:1907.00481, 2019
12019
Hierarchical Representation Learning in Graph Neural Networks with Node Decimation Pooling
FM Bianchi, D Grattarola, L Livi, C Alippi
arXiv preprint arXiv:1910.11436, 2019
2019
Autoregressive Models for Sequences of Graphs
D Zambon, D Grattarola, L Livi, C Alippi
2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019
2019
Deep Feature Extraction for Sample-Efficient Reinforcement Learning
D Grattarola
Politecnico di Milano, 2017
2017
Systemet kan ikke utføre handlingen. Prøv igjen senere.
Artikler 1–8