Learning Graph Embeddings on Constant-Curvature Manifolds for Change Detection in Graph Streams. - Daniele Grattarola; Daniele Zambon; Cesare Alippi; Lorenzo Livi (CoRR, 2018)

Autoregressive Models for Sequences of Graphs. - Daniele Zambon; Daniele Grattarola; Lorenzo Livi; Cesare Alippi (IJCNN, 2019)

Adversarial autoencoders with constant-curvature latent manifolds. - Daniele Grattarola; Lorenzo Livi; Cesare Alippi (Appl. Soft Comput., 2019)

Mincut pooling in Graph Neural Networks. - Filippo Maria Bianchi; Daniele Grattarola; Cesare Alippi (CoRR, 2019)

Spectral Clustering with Graph Neural Networks for Graph Pooling. - Filippo Maria Bianchi; Daniele Grattarola; Cesare Alippi (ICML, 2020)

Graph Neural Networks in TensorFlow and Keras with Spektral. - Daniele Grattarola; Cesare Alippi (CoRR, 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 Edit Networks. - Benjamin Paassen; Daniele Grattarola; Daniele Zambon; Cesare Alippi; Barbara Hammer (ICLR, 2021)

Learning Graph Cellular Automata. - Daniele Grattarola; Lorenzo Livi; Cesare Alippi (NeurIPS, 2021)

Graph Neural Networks in TensorFlow and Keras with Spektral [Application Notes]. - Daniele Grattarola; Cesare Alippi (IEEE Comput. Intell. Mag., 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)

Generalised Implicit Neural Representations. - Daniele Grattarola; Pierre Vandergheynst (NeurIPS, 2022)

Unsupervised Heterophilous Network Embedding via r-Ego Network Discrimination. - Zhiqiang Zhong 001; Guadalupe Gonzalez; Daniele Grattarola; Jun Pang 001 (CoRR, 2022)

Seizure localisation with attention-based graph neural networks. - Daniele Grattarola; Lorenzo Livi; Cesare Alippi; Richard Wennberg; Taufik A. Valiante (Expert Syst. Appl., 2022)

Graph Neural Networks With Convolutional ARMA Filters. - Filippo Maria Bianchi; Daniele Grattarola; Lorenzo Livi; Cesare Alippi (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Unsupervised Network Embedding Beyond Homophily. - Zhiqiang Zhong 001; Guadalupe Gonzalez; Daniele Grattarola; Jun Pang 001 (Trans. Mach. Learn. Res., 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)

E(n)-equivariant Graph Neural Cellular Automata. - Gennaro Gala; Daniele Grattarola; Erik Quaeghebeur (Trans. Mach. Learn. Res., 2024)

Understanding Pooling in Graph Neural Networks. - Daniele Grattarola; Daniele Zambon; Filippo Maria Bianchi; Cesare Alippi (IEEE Trans. Neural Networks Learn. Syst., 2024)