Comments (3)
Hi,
I just pushed a new version, which should work for these datasets (MUTAG, REDDIT-binary etc.)
from diffpool.
Hi,
for MUTAG i think it's the problem in graph labels. I previously assumed that the graph labels are 0,1, ... n-1, and MUTAG is -1, 1. I'll adapt my code to these labels as well
Rex
from diffpool.
Thanks for the explanation and fix. It works now! :)
from diffpool.
Related Issues (20)
- About the name HOT 1
- difference between methods HOT 2
- Typo in encoder.py causes nan HOT 1
- Auxiliary losses implementations HOT 5
- edge attributes HOT 9
- Paper stats for proteins or proteins_full? HOT 1
- Batch Normalization and the direction of softmax
- Max-degree=10?
- Auxiliary loss HOT 1
- code for auxiliary link prediction objective HOT 1
- Test dataset
- About the module pipeline HOT 1
- Error when plt.savefig HOT 1
- Parameters for REDDIT-MULTI-12K dataset
- Can DiffPool be used on Bipartite graph?
- the DD datasets had high validation accuracy at the begging of the training. HOT 1
- How can I visualize diffpool process? HOT 1
- Exact architecture from the paper?
- Appendix pages
- Receiving a IndexError when executing example.sh HOT 1
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