Before revision:  Node2Img maps the nodes to "images" (i.e. grid-like data in Euclidean space) which can be the inputs of Convolutional Neural Network (CNN) . Instead of leveraging the fixed whole network as a batch to train the model, Node2Img supports a more efficacious framework in practice, where the batch size can be set elastically and the data in the same batch can be calculated parallelly.
After revision:  Node2Img maps the nodes to "images" (i.e. grid-like data in Euclidean space) which can be the inputs of Convolutional Neural Network (CNN) . Instead of directly processing the coupled nodes as GCNs, Node2Grids supports a more efficacious framework in practice, where the batch size can be set elastically and the data in the same batch can be calculated parallelly.