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[NN]: EdgeWeightNorm for tensorflow backend
Description
Support for Tensorflow backend for EdgeWeightNorm and GraphConv
Checklist
Please feel free to remove inapplicable items for your PR.
- [x] The PR title starts with [$CATEGORY] (such as [NN], [Model], [Doc], [Feature]])
- [x] Changes are complete (i.e. I finished coding on this PR)
- [ ] All changes have test coverage
- [x] Code is well-documented
- [x] To the best of my knowledge, examples are either not affected by this change, or have been fixed to be compatible with this change
- [ ] Related issue is referred in this PR
- [ ] If the PR is for a new model/paper, I've updated the example index here.
Changes
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Guys, I am using this functionality for my project and would like to share it with everyone. Please consider review this PR and adding the code to the next release of DGL
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Hi @aramakus , can you also add unit test for your change to prevent regression when other people touches your code?
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@aramakus pls fix the lint check failure
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@Rhett-Ying fixed linting, get no errors for the file I added to @frozenbugs copied unittest from respective pytorch file, no changes but one line
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@aramakus is it possible to verify on your local side before submit commit?
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