Daniele Grattarola

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 27

Top Topics

Distributed Representations

Change Detection

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Trans. Mach. Learn. Res.

Publications

Gennaro Gala, Daniele Grattarola, Erik Quaeghebeur
E(n)-equivariant Graph Neural Cellular Automata. Trans. Mach. Learn. Res. 2024 (2024)
Daniele Grattarola, Daniele Zambon, Filippo Maria Bianchi, Cesare Alippi
Understanding Pooling in Graph Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 35 (2) (2024)
Gennaro Gala, Daniele Grattarola, Erik Quaeghebeur
E(n)-equivariant Graph Neural Cellular Automata. CoRR (2023)
Zhiqiang Zhong, Guadalupe Gonzalez, Daniele Grattarola, Jun Pang
Unsupervised Network Embedding Beyond Homophily. Trans. Mach. Learn. Res. 2022 (2022)
Filippo Maria Bianchi, Daniele Grattarola, Lorenzo Livi, Cesare Alippi
Graph Neural Networks With Convolutional ARMA Filters. IEEE Trans. Pattern Anal. Mach. Intell. 44 (7) (2022)
Daniele Grattarola, Pierre Vandergheynst
Generalised Implicit Neural Representations. CoRR (2022)
Daniele Grattarola, Lorenzo Livi, Cesare Alippi, Richard Wennberg, Taufik A. Valiante
Seizure localisation with attention-based graph neural networks. Expert Syst. Appl. 203 (2022)
Zhiqiang Zhong, Guadalupe Gonzalez, Daniele Grattarola, Jun Pang
Unsupervised Heterophilous Network Embedding via r-Ego Network Discrimination. CoRR (2022)
Daniele Grattarola, Pierre Vandergheynst
Generalised Implicit Neural Representations. NeurIPS (2022)
Filippo Maria Bianchi, Daniele Grattarola, Lorenzo Livi, Cesare Alippi
Hierarchical Representation Learning in Graph Neural Networks With Node Decimation Pooling. IEEE Trans. Neural Networks Learn. Syst. 33 (5) (2022)
Daniele Grattarola, Lorenzo Livi, Cesare Alippi
Learning Graph Cellular Automata. CoRR (2021)
Jack B. Maguire, Daniele Grattarola, Vikram Khipple Mulligan, Eugene Klyshko, Hans Melo
XENet: Using a new graph convolution to accelerate the timeline for protein design on quantum computers. PLoS Comput. Biol. 17 (9) (2021)
Daniele Grattarola, Daniele Zambon, Filippo Maria Bianchi, Cesare Alippi
Understanding Pooling in Graph Neural Networks. CoRR (2021)
Benjamin Paassen, Daniele Grattarola, Daniele Zambon, Cesare Alippi, Barbara Hammer
Graph Edit Networks. ICLR (2021)
Daniele Grattarola, Cesare Alippi
Graph Neural Networks in TensorFlow and Keras with Spektral [Application Notes]. IEEE Comput. Intell. Mag. 16 (1) (2021)
Daniele Grattarola, Lorenzo Livi, Cesare Alippi
Learning Graph Cellular Automata. NeurIPS (2021)
Daniele Grattarola, Cesare Alippi
Graph Neural Networks in TensorFlow and Keras with Spektral. CoRR (2020)
Daniele Grattarola, Daniele Zambon, Lorenzo Livi, Cesare Alippi
Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds. IEEE Trans. Neural Networks Learn. Syst. 31 (6) (2020)
Filippo Maria Bianchi, Daniele Grattarola, Cesare Alippi
Spectral Clustering with Graph Neural Networks for Graph Pooling. ICML (2020)
Daniele Zambon, Daniele Grattarola, Lorenzo Livi, Cesare Alippi
Autoregressive Models for Sequences of Graphs. CoRR (2019)
Daniele Zambon, Daniele Grattarola, Lorenzo Livi, Cesare Alippi
Autoregressive Models for Sequences of Graphs. IJCNN (2019)
Filippo Maria Bianchi, Daniele Grattarola, Lorenzo Livi, Cesare Alippi
Graph Neural Networks with convolutional ARMA filters. CoRR (2019)
Daniele Grattarola, Lorenzo Livi, Cesare Alippi
Adversarial autoencoders with constant-curvature latent manifolds. Appl. Soft Comput. 81 (2019)
Filippo Maria Bianchi, Daniele Grattarola, Cesare Alippi
Mincut pooling in Graph Neural Networks. CoRR (2019)
Filippo Maria Bianchi, Daniele Grattarola, Lorenzo Livi, Cesare Alippi
Hierarchical Representation Learning in Graph Neural Networks with Node Decimation Pooling. CoRR (2019)
Daniele Grattarola, Lorenzo Livi, Cesare Alippi
Adversarial Autoencoders with Constant-Curvature Latent Manifolds. CoRR (2018)
Daniele Grattarola, Daniele Zambon, Cesare Alippi, Lorenzo Livi
Learning Graph Embeddings on Constant-Curvature Manifolds for Change Detection in Graph Streams. CoRR (2018)