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Journal Articles
- 2024
[j10]Gennaro Gala, Daniele Grattarola, Erik Quaeghebeur:
E(n)-equivariant Graph Neural Cellular Automata. Trans. Mach. Learn. Res. 2024 (2024)- [j9]Daniele Grattarola
, Daniele Zambon, Filippo Maria Bianchi, Cesare Alippi:
Understanding Pooling in Graph Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2708-2718 (2024) - 2022
- [j8]Daniele Grattarola, Lorenzo Livi, Cesare Alippi, Richard Wennberg, Taufik A. Valiante:
Seizure localisation with attention-based graph neural networks. Expert Syst. Appl. 203: 117330 (2022) - [j7]Filippo Maria Bianchi, Daniele Grattarola, Lorenzo Livi, Cesare Alippi:
Graph Neural Networks With Convolutional ARMA Filters. IEEE Trans. Pattern Anal. Mach. Intell. 44(7): 3496-3507 (2022) - [j6]Zhiqiang Zhong, Guadalupe Gonzalez, Daniele Grattarola, Jun Pang:
Unsupervised Network Embedding Beyond Homophily. Trans. Mach. Learn. Res. 2022 (2022) - [j5]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): 2195-2207 (2022) - 2021
- [j4]Daniele Grattarola, Cesare Alippi:
Graph Neural Networks in TensorFlow and Keras with Spektral [Application Notes]. IEEE Comput. Intell. Mag. 16(1): 99-106 (2021) - [j3]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) - 2020
- [j2]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): 1856-1869 (2020) - 2019
- [j1]Daniele Grattarola, Lorenzo Livi, Cesare Alippi:
Adversarial autoencoders with constant-curvature latent manifolds. Appl. Soft Comput. 81 (2019)
Conference and Workshop Papers
- 2022
- [c5]Daniele Grattarola, Pierre Vandergheynst:
Generalised Implicit Neural Representations. NeurIPS 2022 - 2021
- [c4]Benjamin Paassen, Daniele Grattarola, Daniele Zambon, Cesare Alippi, Barbara Hammer:
Graph Edit Networks. ICLR 2021 - [c3]Daniele Grattarola, Lorenzo Livi, Cesare Alippi:
Learning Graph Cellular Automata. NeurIPS 2021: 20983-20994 - 2020
- [c2]Filippo Maria Bianchi, Daniele Grattarola, Cesare Alippi:
Spectral Clustering with Graph Neural Networks for Graph Pooling. ICML 2020: 874-883 - 2019
- [c1]Daniele Zambon, Daniele Grattarola, Lorenzo Livi, Cesare Alippi:
Autoregressive Models for Sequences of Graphs. IJCNN 2019: 1-8
Informal and Other Publications
- 2023
- [i12]Gennaro Gala, Daniele Grattarola, Erik Quaeghebeur:
E(n)-equivariant Graph Neural Cellular Automata. CoRR abs/2301.10497 (2023) - 2022
- [i11]Zhiqiang Zhong, Guadalupe Gonzalez, Daniele Grattarola, Jun Pang:
Unsupervised Heterophilous Network Embedding via r-Ego Network Discrimination. CoRR abs/2203.10866 (2022) - [i10]Daniele Grattarola, Pierre Vandergheynst:
Generalised Implicit Neural Representations. CoRR abs/2205.15674 (2022) - 2021
- [i9]Daniele Grattarola, Daniele Zambon, Filippo Maria Bianchi, Cesare Alippi:
Understanding Pooling in Graph Neural Networks. CoRR abs/2110.05292 (2021) - [i8]Daniele Grattarola, Lorenzo Livi, Cesare Alippi:
Learning Graph Cellular Automata. CoRR abs/2110.14237 (2021) - 2020
- [i7]Daniele Grattarola, Cesare Alippi:
Graph Neural Networks in TensorFlow and Keras with Spektral. CoRR abs/2006.12138 (2020) - 2019
- [i6]Filippo Maria Bianchi, Daniele Grattarola, Lorenzo Livi, Cesare Alippi:
Graph Neural Networks with convolutional ARMA filters. CoRR abs/1901.01343 (2019) - [i5]Daniele Zambon, Daniele Grattarola, Lorenzo Livi, Cesare Alippi:
Autoregressive Models for Sequences of Graphs. CoRR abs/1903.07299 (2019) - [i4]Filippo Maria Bianchi, Daniele Grattarola, Cesare Alippi:
Mincut pooling in Graph Neural Networks. CoRR abs/1907.00481 (2019) - [i3]Filippo Maria Bianchi, Daniele Grattarola, Lorenzo Livi, Cesare Alippi:
Hierarchical Representation Learning in Graph Neural Networks with Node Decimation Pooling. CoRR abs/1910.11436 (2019) - 2018
- [i2]Daniele Grattarola, Daniele Zambon, Cesare Alippi, Lorenzo Livi:
Learning Graph Embeddings on Constant-Curvature Manifolds for Change Detection in Graph Streams. CoRR abs/1805.06299 (2018) - [i1]Daniele Grattarola, Lorenzo Livi, Cesare Alippi:
Adversarial Autoencoders with Constant-Curvature Latent Manifolds. CoRR abs/1812.04314 (2018)
Coauthor Index
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