Daniele Grattarola

27 papers A* 4B 1Journal 22
YearRankTypeTitle / Venue / Authors
2024 J jnl
E(n)-equivariant Graph Neural Cellular Automata.
Trans. Mach. Learn. Res.
Gennaro Gala, Daniele Grattarola, Erik Quaeghebeur
2024 J jnl
Understanding Pooling in Graph Neural Networks.
IEEE Trans. Neural Networks Learn. Syst.
Daniele Grattarola, Daniele Zambon, Filippo Maria Bianchi, Cesare Alippi
2023 J jnl
E(n)-equivariant Graph Neural Cellular Automata.
CoRR
Gennaro Gala, Daniele Grattarola, Erik Quaeghebeur
2022 A* conf
Generalised Implicit Neural Representations.
NeurIPS
Daniele Grattarola, Pierre Vandergheynst
2022 J jnl
Generalised Implicit Neural Representations.
CoRR
Daniele Grattarola, Pierre Vandergheynst
2022 J jnl
Graph Neural Networks With Convolutional ARMA Filters.
IEEE Trans. Pattern Anal. Mach. Intell.
Filippo Maria Bianchi, Daniele Grattarola, Lorenzo Livi, Cesare Alippi
2022 J jnl
Hierarchical Representation Learning in Graph Neural Networks With Node Decimation Pooling.
IEEE Trans. Neural Networks Learn. Syst.
Filippo Maria Bianchi, Daniele Grattarola, Lorenzo Livi, Cesare Alippi
2022 J jnl
Seizure localisation with attention-based graph neural networks.
Expert Syst. Appl.
Daniele Grattarola, Lorenzo Livi, Cesare Alippi, Richard Wennberg, Taufik A. Valiante
2022 J jnl
Unsupervised Heterophilous Network Embedding via r-Ego Network Discrimination.
CoRR
Zhiqiang Zhong, Guadalupe Gonzalez, Daniele Grattarola, Jun Pang
2022 J jnl
Unsupervised Network Embedding Beyond Homophily.
Trans. Mach. Learn. Res.
Zhiqiang Zhong, Guadalupe Gonzalez, Daniele Grattarola, Jun Pang
2021 A* conf
Graph Edit Networks.
ICLR
Benjamin Paassen, Daniele Grattarola, Daniele Zambon, Cesare Alippi, Barbara Hammer
2021 J jnl
Graph Neural Networks in TensorFlow and Keras with Spektral [Application Notes].
IEEE Comput. Intell. Mag.
Daniele Grattarola, Cesare Alippi
2021 A* conf
Learning Graph Cellular Automata.
NeurIPS
Daniele Grattarola, Lorenzo Livi, Cesare Alippi
2021 J jnl
Learning Graph Cellular Automata.
CoRR
Daniele Grattarola, Lorenzo Livi, Cesare Alippi
2021 J jnl
Understanding Pooling in Graph Neural Networks.
CoRR
Daniele Grattarola, Daniele Zambon, Filippo Maria Bianchi, Cesare Alippi
2021 J jnl
XENet: Using a new graph convolution to accelerate the timeline for protein design on quantum computers.
PLoS Comput. Biol.
Jack B. Maguire, Daniele Grattarola, Vikram Khipple Mulligan, Eugene Klyshko, Hans Melo
2020 J jnl
Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds.
IEEE Trans. Neural Networks Learn. Syst.
Daniele Grattarola, Daniele Zambon, Lorenzo Livi, Cesare Alippi
2020 J jnl
Graph Neural Networks in TensorFlow and Keras with Spektral.
CoRR
Daniele Grattarola, Cesare Alippi
2020 A* conf
Spectral Clustering with Graph Neural Networks for Graph Pooling.
ICML
Filippo Maria Bianchi, Daniele Grattarola, Cesare Alippi
2019 J jnl
Adversarial autoencoders with constant-curvature latent manifolds.
Appl. Soft Comput.
Daniele Grattarola, Lorenzo Livi, Cesare Alippi
2019 B conf
Autoregressive Models for Sequences of Graphs.
IJCNN
Daniele Zambon, Daniele Grattarola, Lorenzo Livi, Cesare Alippi
2019 J jnl
Autoregressive Models for Sequences of Graphs.
CoRR
Daniele Zambon, Daniele Grattarola, Lorenzo Livi, Cesare Alippi
2019 J jnl
Graph Neural Networks with convolutional ARMA filters.
CoRR
Filippo Maria Bianchi, Daniele Grattarola, Lorenzo Livi, Cesare Alippi
2019 J jnl
Hierarchical Representation Learning in Graph Neural Networks with Node Decimation Pooling.
CoRR
Filippo Maria Bianchi, Daniele Grattarola, Lorenzo Livi, Cesare Alippi
2019 J jnl
Mincut pooling in Graph Neural Networks.
CoRR
Filippo Maria Bianchi, Daniele Grattarola, Cesare Alippi
2018 J jnl
Adversarial Autoencoders with Constant-Curvature Latent Manifolds.
CoRR
Daniele Grattarola, Lorenzo Livi, Cesare Alippi
2018 J jnl
Learning Graph Embeddings on Constant-Curvature Manifolds for Change Detection in Graph Streams.
CoRR
Daniele Grattarola, Daniele Zambon, Cesare Alippi, Lorenzo Livi