Comments (1)
Hi,
I would suggest that you ask to the authors of the GIN paper to get an informed response. On our side, we just did our best to make the implementation as close as the one in the original repo. Please check the last lines of https://github.com/weihua916/powerful-gnns/blob/master/models/graphcnn.py for reference. Hope this helps.
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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
- 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
- The position of "config_id += 1" in the 84 of evaluation/model_selection/HoldOutSelector.py HOT 1
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