A Neural Network Approach for the Analysis of Reproducible Ribo-Seq Profiles. - Giorgia Giacomini; Caterina Graziani; Veronica Lachi; Pietro Bongini; Niccolò Pancino; Monica Bianchini; Davide Chiarugi; Angelo Valleriani; Paolo Andreini (Algorithms, 2022)

TwitterVax. - Veronica Lachi (IEEE DataPort, 2022)

The expressive power of pooling in Graph Neural Networks. - Filippo Maria Bianchi; Veronica Lachi (NeurIPS, 2023)

Impact of the Covid 19 outbreaks on the italian twitter vaccination debat: a network based analysis. - Veronica Lachi; Giovanna Maria Dimitri; Alessandro Di Stefano; Pietro Liò; Monica Bianchini; Chiara Mocenni (CoRR, 2023)

Graph Neural Networks for Temporal Graphs: State of the Art, Open Challenges, and Opportunities. - Antonio Longa; Veronica Lachi; Gabriele Santin; Monica Bianchini; Bruno Lepri; Pietro Lio; Franco Scarselli; Andrea Passerini (Trans. Mach. Learn. Res., 2023)

Weisfeiler-Lehman goes dynamic: An analysis of the expressive power of Graph Neural Networks for attributed and dynamic graphs. - Silvia Beddar-Wiesing; Giuseppe Alessio D'Inverno; Caterina Graziani; Veronica Lachi; Alice Moallemy-Oureh; Franco Scarselli; Josephine Maria Thomas (Neural Networks, 2024)

Expressive Pooling for Graph Neural Networks. - Veronica Lachi; Alice Moallemy-Oureh; Andreas Roth; Pascal Welke (Trans. Mach. Learn. Res., 2025)

Boosting Relational Deep Learning with Pretrained Tabular Models. - Veronica Lachi; Antonio Longa; Beatrice Bevilacqua; Bruno Lepri; Andrea Passerini; Bruno Ribeiro 001 (CoRR, 2025)

Bridging Theory and Practice in Link Representation with Graph Neural Networks. - Veronica Lachi; Francesco Ferrini; Antonio Longa; Bruno Lepri; Andrea Passerini; Manfred Jaeger (CoRR, 2025)

GNNs Meet Sequence Models Along the Shortest-Path: an Expressive Method for Link Prediction. - Francesco Ferrini; Veronica Lachi; Antonio Longa; Bruno Lepri; Andrea Passerini (CoRR, 2025)