I'm a student beginning to study deep learning, and would like to practice with a simple project using a Graph Convolutional Network.
However, I'm not quite sure how to handle different input sizes of graphs for the GCN. How would I do this?
Is zero-padding the only way to solve this problem? While zero-padding is applicable to CNNs, I'm not sure if it is for a GCN.
