A systematic literature review of spatio-temporal graph neural network models for time series forecasting and classification

Flavio Corradini, Flavio Gerosa, Marco Gori, Carlo Lucheroni, Marco Piangerelli, Martina Zannotti

Abstract: Highlights•Systematic literature review including more than 350 papers.•Identification of application domains for spatio-temporal GNNs.•Collection of datasets, benchmarks, and source code.•Comparison of results on benchmark datasets.•Supplemented by a GitHub repository with interactive tools.

External IDs:doi:10.1016/j.neunet.2025.108269