Daniele Grattarola
Title
Cited by
Cited by
Year
Graph neural networks with convolutional arma filters
FM Bianchi, D Grattarola, L Livi, C Alippi
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
742021
Spectral Clustering with Graph Neural Networks for Graph Pooling
FM Bianchi, D Grattarola, C Alippi
International Conference on Machine Learning, 2020
43*2020
Graph neural networks in Tensorflow and Keras with Spektral
D Grattarola, C Alippi
IEEE Computational Intelligence Magazine, 2021
282021
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
18*2019
Adversarial autoencoders with constant-curvature latent manifolds
D Grattarola, L Livi, C Alippi
Applied Soft Computing 81, 105511, 2019
132019
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
122017
Hierarchical representation learning in graph neural networks with node decimation pooling
FM Bianchi, D Grattarola, L Livi, C Alippi
IEEE Transactions on Neural Networks and Learning Systems, 2020
52020
Deep Feature Extraction for Sample-Efficient Reinforcement Learning
D Grattarola
Politecnico di Milano, 2017
12017
XENet: Using a new graph convolution to accelerate the timeline for protein design on quantum computers
JB Maguire, D Grattarola, E Klyshko, VK Mulligan, H Melo
bioRxiv, 2021
2021
Unsupervised seizure localisation with attention-based graph neural networks
D Grattarola, L Livi, C Alippi, R Wennberg, T Valiante
bioRxiv, 2020
2020
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
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