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Daniele Grattarola
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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
2142021
Spectral Clustering with Graph Neural Networks for Graph Pooling
FM Bianchi, D Grattarola, C Alippi
International Conference on Machine Learning, 2020
160*2020
Graph neural networks in Tensorflow and Keras with Spektral
D Grattarola, C Alippi
IEEE Computational Intelligence Magazine, 2021
1052021
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
28*2019
Adversarial autoencoders with constant-curvature latent manifolds
D Grattarola, L Livi, C Alippi
Applied Soft Computing 81, 105511, 2019
242019
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
202020
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
172017
Understanding pooling in graph neural networks
D Grattarola, D Zambon, FM Bianchi, C Alippi
IEEE Transactions on Neural Networks and Learning Systems, 2022
92022
Learning graph cellular automata
D Grattarola, L Livi, C Alippi
Advances in Neural Information Processing Systems 34, 20983-20994, 2021
82021
XENet: Using a new graph convolution to accelerate the timeline for protein design on quantum computers
JB Maguire, D Grattarola, VK Mulligan, E Klyshko, H Melo
PLoS computational biology 17 (9), e1009037, 2021
52021
Spektral
D Grattarola
Github,, 2020
52020
Graph edit networks
B Paassen, D Grattarola, D Zambon, C Alippi, BE Hammer
International Conference on Learning Representations, 2020
42020
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
32019
Seizure localisation with attention-based graph neural networks
D Grattarola, L Livi, C Alippi, R Wennberg, T Valiante
Expert Systems with Applications, 2022
22022
Deep Feature Extraction for Sample-Efficient Reinforcement Learning
D Grattarola
Politecnico di Milano, 2017
12017
Generalised Implicit Neural Representations
D Grattarola, P Vandergheynst
arXiv preprint arXiv:2205.15674, 2022
2022
Unsupervised Heterophilous Network Embedding via -Ego Network Discrimination
Z Zhong, G Gonzalez, D Grattarola, J Pang
arXiv preprint arXiv:2203.10866, 2022
2022
Graph neural networks: operators and architectures
D Grattarola
Universitŕ della Svizzera italiana, 2021
2021
Unsupervised Heterophilous Network Embedding via r-Ego Network Discrimination Download PDF
Z Zhong, G Gonzalez, D Grattarola, J Pang
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Articles 1–19