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View Code? Open in Web Editor NEWGraph meta learning via local subgraphs (NeurIPS 2020)
Home Page: https://zitniklab.hms.harvard.edu/projects/G-Meta
Graph meta learning via local subgraphs (NeurIPS 2020)
Home Page: https://zitniklab.hms.harvard.edu/projects/G-Meta
A very nice paper. But can this method be used to do subgraph matching?
May I know what is the python version?
Hi:
In each dataset you provide in code, there is a file "trian. csv". Ths third column is label, is it the relative second column node label? And what's the relation between third column and label.pkl file? Thanks.
Dear authors,
The provided dataset can not be loaded with the newest DGL version. Could you provide a new version of that?
Why does the result I obtained not have gradient descent?
Hi, there.
Could you explain what is the difference btw finetuned model and G-Meta?
Dear G-Meta team,
Greetings, I counted the problem on dgl package.
When I tried to open the dgl_graph.pkl file, ModuleNotFoundError: No module named 'dgl.graph'
problem evoked while I matched the conda virtual environment setting to your requirements.
Although I searched the above error comment, I couldn't find the proper solution.
Can you give any suggestions or results after running dgl_graph.pkl file?
I'm sorry for bothering you and look forward to your reply.
Best,
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