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Increase the release number to 1.0.1. This new release exports 'make_graph_reg_config'.
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README.md

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@@ -81,6 +81,10 @@ for tracking requests and bugs. For questions, please direct them to [Stack Over
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["nsl"](https://stackoverflow.com/questions/tagged/nsl)
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tag.
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## Release Notes
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Please see the [release notes](RELEASE.md) for detailed version updates.
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## References
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[[1] T. Bui, S. Ravi and V. Ramavajjala. "Neural Graph Learning: Training Neural Networks Using Graphs." WSDM 2018](https://ai.google/research/pubs/pub46568.pdf)

RELEASE.md

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# Release 1.0.1
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## Major Features and Improvements
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* Adds 'make_graph_reg_config', a new API to help construct a `nsl.configs.GraphRegConfig` object
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* Updates the package description on PyPI
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## Bug Fixes and Other Changes
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* Fixes metric computation with `Metric` objects in `AdversarialRegularization`
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* Fixes typos in documentation and notebooks
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## Thanks to our Contributors
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This release contains contributions from many people at Google, as well as:
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@joaogui1, @aspratyush.
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# Release 1.0.0
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Initial release of Neural Structured Learning in TensorFlow.
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* Initial release of Neural Structured Learning in TensorFlow

setup.py

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setuptools.setup(
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name="neural-structured-learning",
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version="1.0.0",
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version="1.0.1",
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author="Google LLC",
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description="Neural Structured Learning is an open-source TensorFlow "
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"framework to train neural networks with structured signals",

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