Hi all,
I’ve been running the code posted on the tutorial here: Training a GNN for Graph Classification — DGL 0.8.2post1 documentation but I don’t believe the node features are updating. I added print statements before and after the back propagation during the training loop occurred and the batched_graph.ndata[‘h’] values are the same. Is there something wrong with the code or my understanding?
Thanks!