most citedA Systematic Literature Review of Spatio-Temporal Graph Neural Network Models for Time Series Forecasting and Classification

20 citations · 20 across the 1 of their papers we have counts for

collaborators

1 paper

cs.LG2024★ 20 cited

A Systematic Literature Review of Spatio-Temporal Graph Neural Network Models for Time Series Forecasting and Classification

Flavio Corradini, Flavio Gerosa, Marco Gori +3

In recent years, spatio-temporal graph neural networks (GNNs) have attracted considerable interest in the field of time series analysis, due to their ability to capture, at once, d…