Comments (1)
Perhaps you are right. Still, this repository is exclusively for reproducibility purposes, so we would like to keep things as similar as they were at the time of the submission.
Thanks for raising this point though, it may help other people in improving the library for their own purposes.
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Related Issues (20)
- Best configs / splits HOT 3
- It takes long time to train DiffPool HOT 1
- The program crashes without "--debug" flag being set when using Cuda. HOT 1
- Using DGCNN with new data HOT 1
- Using dropout in last layer HOT 1
- Call each other HOT 2
- additional features HOT 1
- PyTorch -- multiple threads for each process HOT 2
- Is there a mistake in Data Preprocessing? HOT 2
- error message HOT 1
- OUTER_TS is 20.0 FOR M5k(GraphSAGE) HOT 2
- Different best config in each k_fold HOT 6
- Can't find device = cuda in config files HOT 1
- DiffPool breaks on ENZYMES? HOT 5
- GraphSage doesn't learn. HOT 12
- Results don't match - am I running something in the wrong way? HOT 2
- Not a question, the code is running well. Thanks.
- the dataset for the experiments HOT 1
- Multi-process running errors HOT 4
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