Publications

Select category

What Matters in Deep Learning for Time Series Forecasting?

 Valentina Moretti, Andrea Cini, Ivan Marisca, Cesare Alippi
Preprint

Torch Geometric Pool: the Pytorch library for pooling in Graph Neural Networks

 Filippo Maria Bianchi, Carlo Abate, Ivan Marisca
Preprint

Over-squashing in Spatiotemporal Graph Neural Networks

 Ivan Marisca, Jacob Bamberger, Cesare Alippi, Michael M. Bronstein
NeurIPS 2025

PeakWeather: MeteoSwiss Weather Station Measurements for Spatiotemporal Deep Learning

 Daniele Zambon, Michele Cattaneo, Ivan Marisca, Jonas Bhend, Daniele Nerini, Cesare Alippi
Preprint

Graph-based Forecasting with Missing Data through Spatiotemporal Downsampling

 Ivan Marisca, Cesare Alippi, Filippo Maria Bianchi
ICML 2024

Graph Deep Learning for Time Series Forecasting

 Andrea Cini, Ivan Marisca, Daniele Zambon, Cesare Alippi
ACM CSUR

Taming Local Effects in Graph-based Spatiotemporal Forecasting

 Andrea Cini*, Ivan Marisca*, Daniele Zambon, Cesare Alippi
NeurIPS 2023

Scalable Spatiotemporal Graph Neural Networks

 Andrea Cini*, Ivan Marisca*, Filippo Maria Bianchi, Cesare Alippi
AAAI 2023

Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations

 Ivan Marisca*, Andrea Cini*, Cesare Alippi
NeurIPS 2022

Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks

 Andrea Cini*, Ivan Marisca*, Cesare Alippi
ICLR 2022

*Equal contribution.

star google scholar old readthedocs.io icon Google Scholar night mode building arrow up arrow left view minus share gmlg arrow right placeholder paper plane newspaper mail heart link menu broken link dots like plus arrow down graph academic cap world sensor network interpolation usi blackboard youtube twitter instagram linkedin github facebook skype