Alippi's group gets awarded at NeurIPS 2022
06 December 2022
The paper "Scalable Spatiotemporal Graph Neural Networks" by Cini, Marisca, Bianchi and Alippi has been awarded a best paper award at the "Temporal Graph Learning Workshop" held at NeurIPS 2022 in New Orleans (USA), this December.

In this paper the team led by Prof Alippi proposes a scalable spatiotemporal graph neural network architecture that exploits an efficient training-free encoding of both temporal and spatial dynamics. This is particularly relevant since neural forecasting of spatiotemporal time series drives both research and industrial innovation in several relevant application domains.