Daniele Grattarola

According to our database, Daniele Grattarola authored at least 19 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Understanding Pooling in Graph Neural Networks.

Daniele Grattarola, Daniele Zambon, Filippo Maria Bianchi, Cesare Alippi

IEEE Trans. Neural Networks Learn. Syst., February, 2024

2023

E(n)-equivariant Graph Neural Cellular Automata.

Gennaro Gala, Daniele Grattarola, Erik Quaeghebeur

CoRR, 2023

2022

Hierarchical Representation Learning in Graph Neural Networks With Node Decimation Pooling.

Filippo Maria Bianchi, Daniele Grattarola, Lorenzo Livi, Cesare Alippi

IEEE Trans. Neural Networks Learn. Syst., 2022

Unsupervised Network Embedding Beyond Homophily.

Zhiqiang Zhong, Guadalupe Gonzalez, Daniele Grattarola, Jun Pang

Trans. Mach. Learn. Res., 2022

Graph Neural Networks With Convolutional ARMA Filters.

Filippo Maria Bianchi, Daniele Grattarola, Lorenzo Livi, Cesare Alippi

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Seizure localisation with attention-based graph neural networks.

Daniele Grattarola, Lorenzo Livi, Cesare Alippi, Richard Wennberg, Taufik A. Valiante

Expert Syst. Appl., 2022

Unsupervised Heterophilous Network Embedding via r-Ego Network Discrimination.

Zhiqiang Zhong, Guadalupe Gonzalez, Daniele Grattarola, Jun Pang

CoRR, 2022

Generalised Implicit Neural Representations.

Daniele Grattarola, Pierre Vandergheynst

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

XENet: Using a new graph convolution to accelerate the timeline for protein design on quantum computers.

Jack B. Maguire, Daniele Grattarola, Vikram Khipple Mulligan, Eugene Klyshko, Hans Melo

PLoS Comput. Biol., 2021

Graph Neural Networks in TensorFlow and Keras with Spektral [Application Notes].

Daniele Grattarola, Cesare Alippi

IEEE Comput. Intell. Mag., 2021

Learning Graph Cellular Automata.

Daniele Grattarola, Lorenzo Livi, Cesare Alippi

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Graph Edit Networks.

Benjamin Paassen, Daniele Grattarola, Daniele Zambon, Cesare Alippi, Barbara Hammer

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds.

Daniele Grattarola, Daniele Zambon, Lorenzo Livi, Cesare Alippi

IEEE Trans. Neural Networks Learn. Syst., 2020

Graph Neural Networks in TensorFlow and Keras with Spektral.

Daniele Grattarola, Cesare Alippi

CoRR, 2020

Spectral Clustering with Graph Neural Networks for Graph Pooling.

Filippo Maria Bianchi, Daniele Grattarola, Cesare Alippi

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Mincut pooling in Graph Neural Networks.

Filippo Maria Bianchi, Daniele Grattarola, Cesare Alippi

CoRR, 2019

Adversarial autoencoders with constant-curvature latent manifolds.

Daniele Grattarola, Lorenzo Livi, Cesare Alippi

Appl. Soft Comput., 2019

Autoregressive Models for Sequences of Graphs.

Daniele Zambon, Daniele Grattarola, Lorenzo Livi, Cesare Alippi

Proceedings of the International Joint Conference on Neural Networks, 2019

2018

Learning Graph Embeddings on Constant-Curvature Manifolds for Change Detection in Graph Streams.

Daniele Grattarola, Daniele Zambon, Cesare Alippi, Lorenzo Livi

CoRR, 2018