Hi, I’m new to DGL and it’s just great in geometric deep learning. Now I have a question while i run the GCN benchmark posted on https://github.com/dglai/dgl-benchmark/tree/master/gcn
I found that the GPU usage always stayed at about 20% even I later added more layers from 1 to 10.
Although it did faster than using cpu, i still wonder whether it can be more faster or not?
(actually, there is a repository named st-gcn, https://github.com/yysijie/st-gcn , which using normal conv2d and conv1d to simulate the graph convolution and finally got a amazing performance both on accuracy and training speed.)
Thanks for any suggestions.