GitLab

* Update graph-heterogeneous.rst

`tensor([0, 1, 2, 0, 1, 2])` should be output instead of code

* Update message-api.rst

`updata_all_example()` should be `update_all_example()`

* Update message-efficient.rst

`cat_feat` need to concatenate with `dim=1` for the # edge features to match # edges

* Update nn-construction.rst

all `max_pool` in the aggregator type of `SAGEConv` should be `pool` instead

* Update graph-heterogeneous.rst

`tensor([0, 1, 2, 0, 1, 2])` should be output instead of code

* Update message-api.rst

`updata_all_example()` should be `update_all_example()`

* Update message-efficient.rst

`cat_feat` need to concatenate with `dim=1` for the # edge features to match # edges

* Update nn-construction.rst

all `max_pool` in the aggregator type of `SAGEConv` should be `pool` instead

* Update nn-forward.rst

all `max_pool` in the aggregator type of `SAGEConv` should be `pool` instead

* Update nn-forward.rst

all `max_pool` in the aggregator type of `SAGEConv` should be `pool` instead
Co-authored-by: zhjwy9343 <6593865@qq.com>

* [Feature] Add full graph training with dgl built-in dataset.

* [Feature] Add full graph training with dgl built-in dataset.

* [Feature] Add full graph training with dgl built-in dataset.

* [Bug] fix model to cuda.

* [Bug] fix model to cuda.

* [Bug] fix model to cuda.

* [Bug] fix model to cuda.

* [Bug] fix model to cuda.

* [Bug] fix model to cuda.

* [Bug] fix model to cuda.

* [Bug] fix model to cuda.

* [Bug] fix model to cuda.

* [Bug] fix model to cuda.

* [Bug] fix model to cuda.

* [Bug] fix model to cuda.

* [Bug] fix model to cuda.

* [Bug] fix model to cuda.

* [Bug] fix model to cuda.

* [Bug] fix model to cuda.

* [Bug] fix model to cuda.

* [Bug] fix model to cuda.

* [Bug] fix model to cuda.

* [Bug] fix model to cuda.

* [Bug] fix model to cuda.

* [Feature] Add test loss and accuracy

* [Feature] Add test loss and accuracy

* [Feature] Add test loss and accuracy

* [Feature] Add test loss and accuracy

* [Feature] Add test loss and accuracy

* [Feature] Add test loss and accuracy

* [Fix] Add random

* [Bug] Fix batch norm error

* [Doc] Test with CN in Sphinx

* [Doc] Test with CN in Sphinx

* [Doc] Remove the test CN docs.

* [Feature] Add input embedding layer

* [Feature] Add input embedding layer

* [Feature] Add input embedding layer

* [Feature] Add input embedding layer

* [Feature] Add input embedding layer

* [Feature] Add input embedding layer

* [Feature] Add input embedding layer

* [Feature] Add input embedding layer

* [Feature] Add input embedding layer

* [Doc] fill readme with new performance results

* [Doc] Add Chinese User Guide, graph and 1.5

* [Doc] Add Chinese User Guide, graph and 1.5

* [Doc] Add Chines User Guide

* [Doc] user guide cn chapter 1

* [Doc] user guide cn chapter 1

* [Doc] user guide cn chapter 1

* [Doc] user guide cn chapter 1

* [Doc] user guide cn chapter 1

* [Doc] user guide cn chapter 1

* [Doc] user guide cn chapter 1

* [Doc] user guide cn chapter 1

* [Doc] user guide cn chapter 1

* [Doc] user guide cn chapter 1

* Update README.md

* [Doc] Finalize CN user guide chapter 1

* [Doc] Finalize CN user guide chapter 1

* [Doc] Finalize CN user guide chapter 1

* [Doc] Add CN link in user guide chapter 1

* [Doc] Add CN link in user guide chapter 1

* [Fix] Temporary remove compgcn

* [Doc] Add Chines User Guide

* [Doc] user guide cn chapter 1

* [Doc] user guide cn chapter 1

* [Doc] user guide cn chapter 1

* [Doc] user guide cn chapter 1

* [Doc] user guide cn chapter 1

* [Doc] user guide cn chapter 1

* [Doc] user guide cn chapter 1

* [Doc] user guide cn chapter 1

* [Doc] user guide cn chapter 1

* [Doc] user guide cn chapter 1

* [Doc] Finalize CN user guide chapter 1

* [Doc] Finalize CN user guide chapter 1

* [Doc] Finalize CN user guide chapter 1

* [Doc] Add CN link in user guide chapter 1

* update hash in 3rd party

* [Fix] copyedit some errors

* [Fix] copyedit some errors

* [Fix] copyedit some errors

* [Fix] copyedit some errors

* [Fix] copyedit some errors

* Update
Co-authored-by: Mufei Li <mufeili1996@gmail.com>