Multivariate Time Series Imputation by Graph Neural Networks. - Andrea Cini; Ivan Marisca; Cesare Alippi (CoRR, 2021)

Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks. - Andrea Cini; Ivan Marisca; Cesare Alippi (ICLR, 2022)

Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations. - Ivan Marisca; Andrea Cini; Cesare Alippi (NeurIPS, 2022)

Scalable Spatiotemporal Graph Neural Networks. - Andrea Cini; Ivan Marisca; Filippo Maria Bianchi; Cesare Alippi (AAAI, 2023)

Taming Local Effects in Graph-based Spatiotemporal Forecasting. - Andrea Cini; Ivan Marisca; Daniele Zambon; Cesare Alippi (NeurIPS, 2023)

Graph-based Forecasting with Missing Data through Spatiotemporal Downsampling. - Ivan Marisca; Cesare Alippi; Filippo Maria Bianchi (ICML, 2024)

PeakWeather: MeteoSwiss Weather Station Measurements for Spatiotemporal Deep Learning. - Daniele Zambon; Michele Cattaneo; Ivan Marisca; Jonas Bhend; Daniele Nerini; Cesare Alippi (CoRR, 2025)

Over-squashing in Spatiotemporal Graph Neural Networks. - Ivan Marisca; Jacob Bamberger; Cesare Alippi; Michael M. Bronstein (CoRR, 2025)

Graph Deep Learning for Time Series Forecasting. - Andrea Cini; Ivan Marisca; Daniele Zambon; Cesare Alippi (ACM Comput. Surv., 2025)