Veronica Lachi

According to our database, Veronica Lachi authored at least 13 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Hyperbolic Graph Neural Networks Under the Microscope: The Role of Geometry-Task Alignment.

Dionisia Naddeo, Jonas Linkerhägner, Nicola Toschi, Geri Skenderi, Veronica Lachi

CoRR, February, 2026

Rethinking GNNs and Missing Features: Challenges, Evaluation and a Robust Solution.

Francesco Ferrini, Veronica Lachi, Antonio Longa, Bruno Lepri, Akiyoshi Matono, Andrea Passerini, Xin Liu, Manfred Jaeger

CoRR, January, 2026

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, July, 2025

Boosting Relational Deep Learning with Pretrained Tabular Models.

Veronica Lachi, Antonio Longa, Beatrice Bevilacqua, Bruno Lepri, Andrea Passerini, Bruno Ribeiro

CoRR, April, 2025

Expressive Pooling for Graph Neural Networks.

Veronica Lachi, Alice Moallemy-Oureh, Andreas Roth, Pascal Welke

Trans. Mach. Learn. Res., 2025

Bridging Theory and Practice in Link Representation with Graph Neural Networks.

Veronica Lachi, Francesco Ferrini, Antonio Longa, Bruno Lepri, Andrea Passerini, Manfred Jaeger

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

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

A Simple and Expressive Graph Neural Network Based Method for Structural Link Representation.

Veronica Lachi, Francesco Ferrini, Antonio Longa, Bruno Lepri, Andrea Passerini

Proceedings of the Geometry-grounded Representation Learning and Generative Modeling Workshop (GRaM) at ICML 2024, 2024

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

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

The expressive power of pooling in Graph Neural Networks.

Filippo Maria Bianchi, Veronica Lachi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

TwitterVax.

Veronica Lachi

Dataset, December, 2022

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