GSTA: Pedestrian trajectory prediction based on global spatio-temporal association of graph attention network

•We propose a spatio-temporal graph attention network to capture global information.•We design SA and TAM to enhance the association of spatio-temporal attention.•We present FUM and FSM for increasing the spatio-temporal receptive fields.•High computational efficiency helps to improve the reasoning.