GT-CausIn: a novel causal-based insight for traffic prediction

Ting Gao, Rodrigo Kappes Marques, Lei Yu

Traffic forecasting is an important application of spatiotemporal series prediction. Among different methods, graph neural networks have achieved so far the most promising results,…