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Thanks for sharing the code, I've run it by both python Main.py --data--name USAir --hop 'auto' --batch-size 1 and python Main.py --data--name USAir --hop 1 --batch-size 1, the sampling of subgraph run smoothly, but it seems to suck after print Initializing DGCNN.
The previous command has run over 2 days still without output file auc_results.txt. And now the second command has run over 4 hours without printing a log or file.
I thought it was because the subgraph is very large due to 'auto -hop', but still suck after changing hop arg to 1 hop
does it correct, did u spend time on training and get auc results?
The text was updated successfully, but these errors were encountered:
Hi, this is my log output after running python Main.py --data-name USAir --hop 'auto' --batch-size 1 (--data-name instead of --data--name). Can you check your CPU usage or GPU usage while stucked to see whether it is training or not? Also, can you check whether your pytorch_DGCNN is successfully installed and compiled following its instruction?
Hi muhan,
Thanks for sharing the code, I've run it by both
python Main.py --data--name USAir --hop 'auto' --batch-size 1
andpython Main.py --data--name USAir --hop 1 --batch-size 1
, the sampling of subgraph run smoothly, but it seems to suck after printInitializing DGCNN
.The previous command has run over 2 days still without output file
auc_results.txt
. And now the second command has run over 4 hours without printing a log or file.I thought it was because the subgraph is very large due to 'auto -hop', but still suck after changing hop arg to 1 hop
does it correct, did u spend time on training and get auc results?
The text was updated successfully, but these errors were encountered: