GraphNorm
[ICML 2021] GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training (official implementation) (by lsj2408)
autonormalize
python library for automated dataset normalization (by alteryx)
| GraphNorm | autonormalize | |
|---|---|---|
| 1 | 1 | |
| 98 | 107 | |
| - | 0.0% | |
| 0.0 | 0.0 | |
| over 1 year ago | 10 months ago | |
| Python | Python | |
| MIT License | BSD 3-clause "New" or "Revised" License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
GraphNorm
Posts with mentions or reviews of GraphNorm.
We have used some of these posts to build our list of alternatives
and similar projects.
-
[D] batch normalization with DGL message-passing GNNs
Look into graph norm: https://github.com/lsj2408/GraphNorm
autonormalize
Posts with mentions or reviews of autonormalize.
We have used some of these posts to build our list of alternatives
and similar projects.
What are some alternatives?
When comparing GraphNorm and autonormalize you can also consider the following projects:
RecBole - A unified, comprehensive and efficient recommendation library
pytorch_geometric - Graph Neural Network Library for PyTorch
recollapse - REcollapse is a helper tool for black-box regex fuzzing to bypass validations and discover normalizations in web applications