deep-graph-matching-consensus
deep-graph-matching-consensus copied to clipboard
rusty1s
Implementation of "Deep Graph Matching Consensus" in PyTorch
Context : ``` (pop) sahmed9@alice:~/reps/deep-graph-matching-consensus/examples$ CUDA_VISIBLE_DEVICES=3 python pascal.py Processing... Done! Traceback (most recent call last): File "/home/sahmed9/anaconda3/envs/pop/lib/python3.8/site-packages/torch_geometric/data/storage.py", line 48, in __getattr__ return self[key] File "/home/sahmed9/anaconda3/envs/pop/lib/python3.8/site-packages/torch_geometric/data/storage.py", line 68, in __getitem__ return...
Hi Thanks for your great work! Now I'm experimenting in an environment as close as possible to the one in Section 4.1, but I'm not getting the high precision results...
Hi: Thank you for your great work! Now I'm trying to run your code on a unfeatured, undirected graph with a feature vector generated from Deepwalk. But the performance is...
Hi, Thanks for the amazing paper and code! This is not really an issue but I wonder if the authors can share instructions or code on how to reproduce the...
Hello, I notice that if the ground truth y[0] is not sorted, `__include_gt__` does not behave properly. It might be worth mentioning this in the documentation. Code to reproduce: ```python...
Hello Rusty, Thanks for the amazing paper. I am so sorry that I am not able to reproduce the results on erdos regny random graph matching using the softmax for...
