Hello guys
so far i have used GCN, GIN, GAT, GraphSage for a graph classification task, i want to see which of the GNNs perform best on my dataset
so if you had to suggest 2-3 other GNNs for me to try out in a graph classification task ( for example by averaging the node representations and giving it to a linear classifier), which of them should i try next?
there are a lot of different methods implemented in https://github.com/dmlc/dgl/tree/master/examples/pytorch
so i am not sure which of them should i try next, i only want to try 2-3 more.