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README.md

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[pypi-image]: https://badge.fury.io/py/torch-scatter.svg
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[pypi-url]: https://pypi.python.org/pypi/torch-scatter
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[build-image]: https://travis-ci.org/rusty1s/pytorch_scatter.svg?branch=master
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[build-url]: https://travis-ci.org/rusty1s/pytorch_scatter
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[build-image]: https://travis-ci.org/rusty1s/pytorch_scatter.svg?branch=master [build-url]: https://travis-ci.org/rusty1s/pytorch_scatter
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[coverage-image]: https://codecov.io/gh/rusty1s/pytorch_scatter/branch/master/graph/badge.svg
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[coverage-url]: https://codecov.io/github/rusty1s/pytorch_scatter?branch=master
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Scatter operations can be roughly described as reduce operations based on a given "group-index" tensor.
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The package consists of the following operations:
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* [**Scatter Add**](https://rusty1s.github.io/pytorch_scatter/functions/add.html)
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* [**Scatter Sub**](https://rusty1s.github.io/pytorch_scatter/functions/sub.html)
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* [**Scatter Mul**](https://rusty1s.github.io/pytorch_scatter/functions/mul.html)
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* [**Scatter Div**](https://rusty1s.github.io/pytorch_scatter/functions/div.html)
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* [**Scatter Mean**](https://rusty1s.github.io/pytorch_scatter/functions/mean.html)
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* [**Scatter Min**](https://rusty1s.github.io/pytorch_scatter/functions/min.html)
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* [**Scatter Max**](https://rusty1s.github.io/pytorch_scatter/functions/max.html)
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* [**Scatter Add**](https://rusty1s.github.io/pytorch_scatter/build/html/functions/add.html)
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* [**Scatter Sub**](https://rusty1s.github.io/pytorch_scatter/build/html/functions/sub.html)
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* [**Scatter Mul**](https://rusty1s.github.io/pytorch_scatter/build/html/functions/mul.html)
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* [**Scatter Div**](https://rusty1s.github.io/pytorch_scatter/build/html/functions/div.html)
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* [**Scatter Mean**](https://rusty1s.github.io/pytorch_scatter/build/html/functions/mean.html)
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* [**Scatter Min**](https://rusty1s.github.io/pytorch_scatter/build/html/functions/min.html)
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* [**Scatter Max**](https://rusty1s.github.io/pytorch_scatter/build/html/functions/max.html)
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All included operations work on varying data types, are implemented both for CPU and GPU and include a backwards implementation.
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