-
Notifications
You must be signed in to change notification settings - Fork 277
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
running the code example in Tutorial for GNN Explainability; error: ModuleNotFoundError: No module named 'dig.xgraph.utils.compatibility' #169
Comments
torch 1.10.1 |
Hello, Thank you for such a wonderful library ! |
another bug: error: Has anyone run this tutorial successfully? |
@YANI-ALT download from git , don't use pip install dive-into-graphs, |
@YANI-ALT better don't use windows, This project is very Windows unfriendly |
I tried to install through git: but got the following error: Preparing metadata (setup.py) ... error × python setup.py egg_info did not run successfully. note: This error originates from a subprocess, and is likely not a problem with pip. × Encountered error while generating package metadata. note: This is an issue with the package mentioned above, not pip. |
I had the same error importing However, I am still having the same error as @Oliver-0423 describes:
It seems to me that there are a few issues with this tutorial, starting with the fact that the version on readthedocs is not up to date with the latest one on github. From the Github version, here are the problems I noted:
Additionally for the quantitative explanation part, the I'm new to the library and unsure about my conclusions, would it be possible to have a confirmation from @Oceanusity, @CM-BF or maybe @mengliu1998 (sorry for the ping) ? If confirmed, I can fix those issues and submit a PR. |
same problem. |
This compatibility module is only available on dig-stable branch. For different dig, you may refer to the different tutorials. If you are unsure about the version you are using, I would recommend using the examples in <Project_root>/examples/xgraph/ to start. The examples and the code are one-to-one corresponding. |
It can be repaired by adding the following code at the beginning of the function find_closest_node_result in .../dig/xgraph/method/subgraphx.py
It looks like the example code mixes list of MCTSNode and list of dict. |
I also had the problem |
No description provided.
The text was updated successfully, but these errors were encountered: