autonormalize VS GraphNorm

Compare autonormalize vs GraphNorm and see what are their differences.

GraphNorm

[ICML 2021] GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training (official implementation) (by lsj2408)
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autonormalize GraphNorm
1 1
107 98
0.0% -
0.0 0.0
10 months ago over 1 year ago
Python Python
BSD 3-clause "New" or "Revised" License MIT 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.
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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.

autonormalize

Posts with mentions or reviews of autonormalize. We have used some of these posts to build our list of alternatives and similar projects.

GraphNorm

Posts with mentions or reviews of GraphNorm. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing autonormalize and GraphNorm 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