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@@ -65,7 +65,7 @@ model = Model(inputs=[X, E], outputs=output)
#### Further layers and features
The documentation contains information on how to use the internal `SortPooling`, `GraphConvolution`and`AttentionMechanism` layers and also describes more optional parameters like regularisers, initialisers and constrains that can be used.
The [documentation](https://dgcnn.readthedocs.io/en/latest/) contains information on how to use the internal `SortPooling`, `GraphConvolution`and`AttentionMechanism` layers and also describes more optional parameters like regularisers, initialisers and constrains that can be used.
### Contribute
Bug reports, fixes and additional features are always welcome! Make sure to run the tests with`python setup.py test`and write your own for new features. Thanks.
