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Daniele Grattarola
Daniele Grattarola
Isomorphic Labs
Verifisert e-postadresse på isomorphiclabs.com - Startside
Tittel
Sitert av
Sitert av
År
Spectral Clustering with Graph Neural Networks for Graph Pooling
FM Bianchi, D Grattarola, C Alippi
International Conference on Machine Learning, 2020
5832020
Graph neural networks with convolutional arma filters
FM Bianchi, D Grattarola, L Livi, C Alippi
IEEE transactions on pattern analysis and machine intelligence 44 (7), 3496-3507, 2021
5622021
Graph neural networks in Tensorflow and Keras with Spektral
D Grattarola, C Alippi
IEEE Computational Intelligence Magazine, 2021
3292021
Understanding pooling in graph neural networks
D Grattarola, D Zambon, FM Bianchi, C Alippi
IEEE transactions on neural networks and learning systems 35 (2), 2708-2718, 2022
1382022
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 33 (5), 2195-2207, 2020
732020
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
59*2019
Learning graph cellular automata
D Grattarola, L Livi, C Alippi
Advances in Neural Information Processing Systems 34, 20983-20994, 2021
412021
Generalised implicit neural representations
D Grattarola, P Vandergheynst
Advances in Neural Information Processing Systems 35, 30446-30458, 2022
322022
Adversarial autoencoders with constant-curvature latent manifolds
D Grattarola, L Livi, C Alippi
Applied Soft Computing 81, 105511, 2019
322019
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
282021
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
252017
Seizure localisation with attention-based graph neural networks
D Grattarola, L Livi, C Alippi, R Wennberg, T Valiante
Expert Systems with Applications, 2022
222022
Graph edit networks
B Paassen, D Grattarola, D Zambon, C Alippi, BE Hammer
International Conference on Learning Representations, 2020
182020
Unsupervised network embedding beyond homophily
Z Zhong, G Gonzalez, D Grattarola, J Pang
arXiv preprint arXiv:2203.10866, 2022
14*2022
Hierarchical neural cellular automata
R Pande, D Grattarola
Artificial Life Conference Proceedings 35 2023 (1), 20, 2023
112023
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
82019
Spektral
D Grattarola
Github,, 2020
62020
Deep Feature Extraction for Sample-Efficient Reinforcement Learning
D Grattarola
Politecnico di Milano, 2017
52017
E (n)-equivariant graph neural cellular automata
G Gala, D Grattarola, E Quaeghebeur
arXiv preprint arXiv:2301.10497, 2023
42023
Graph neural networks
D Grattarola
12021
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Artikler 1–20