GitLab

* Other

* revert

---------
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English Version: However, if a graph contains less than 2^31−1 nodes or edges, one should use 32-bit integers as it leads to better speed and requires less memory.

* Update from master (#4584)

* [Example][Refactor] Refactor graphsage multigpu and full-graph example (#4430)

* Add refactors for multi-gpu and full-graph example

* Fix format

* Update

* Update

* Update

* [Cleanup] Remove async_transferer (#4505)

* Remove async_transferer

* remove test

* Remove AsyncTransferer
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* [Cleanup] Remove duplicate entries of CUB submodule   (issue# 4395) (#4499)

* remove third_part/cub

* remove from third_party
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* [Bug] Enable turn on/off libxsmm at runtime (#4455)

* enable turn on/off libxsmm at runtime by adding a global config and related API
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* [Feature] Unify the cuda stream used in core library (#4480)

* Use an internal cuda stream for CopyDataFromTo

* small fix white space

* Fix to compile

* Make stream optional in copydata for compile

* fix lint issue

* Update cub functions to use internal stream

* Lint check

* Update CopyTo/CopyFrom/CopyFromTo to use internal stream

* Address comments

* Fix backward CUDA stream

* Avoid overloading CopyFromTo()

* Minor comment update

* Overload copydatafromto in cuda device api
Co-authored-by: xiny <xiny@nvidia.com>

* [Feature] Added exclude_self and output_batch to knn graph construction (Issues #4323 #4316) (#4389)

* * Added "exclude_self" and "output_batch" options to knn_graph and segmented_knn_graph
* Updated out-of-date comments on remove_edges and remove_self_loop, since they now preserve batch information

* * Changed defaults on new knn_graph and segmented_knn_graph function parameters, for compatibility; pytorch/test_geometry.py was failing

* * Added test to ensure dgl.remove_self_loop function correctly updates batch information

* * Added new knn_graph and segmented_knn_graph parameters to dgl.nn.KNNGraph and dgl.nn.SegmentedKNNGraph

* * Formatting

* * Oops, I missed the one in segmented_knn_graph when I fixed the similar thing in knn_graph

* * Fixed edge case handling when invalid k specified, since it still needs to be handled consistently for tests to pass
* Fixed context of batch info, since it must match the context of the input position data for remove_self_loop to succeed

* * Fixed batch info resulting from knn_graph when output_batch is true, for case of 3D input tensor, representing multiple segments

* * Added testing of new exclude_self and output_batch parameters on knn_graph and segmented_knn_graph, and their wrappers, KNNGraph and SegmentedKNNGraph, into the test_knn_cuda test

* * Added doc comments for new parameters

* * Added correct handling for uncommon case of k or more coincident points when excluding self edges in knn_graph and segmented_knn_graph
* Added test cases for more than k coincident points

* * Updated doc comments for output_batch parameters for clarity

* * Linter formatting fixes

* * Extracted out common function for test_knn_cpu and test_knn_cuda, to add the new test cases to test_knn_cpu

* * Rewording in doc comments

* * Removed output_batch parameter from knn_graph and segmented_knn_graph, in favour of always setting the batch information, except in knn_graph if x is a 2D tensor
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* [CI] only known devs are authorized to trigger CI (#4518)

* [CI] only known devs are authorized to trigger CI

* fix if author is null

* add comments

* [Readability] Auto fix setup.py and update-version.py (#4446)

* Auto fix update-version

* Auto fix setup.py

* Auto fix update-version

* Auto fix setup.py

* [Doc] Change random.py to random_partition.py in guide on distributed partition pipeline (#4438)

* Update distributed-preprocessing.rst

* Update
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* fix unpinning when tensoradaptor is not available (#4450)

* [Doc] fix print issue in tutorial (#4459)

* [Example][Refactor] Refactor RGCN example (#4327)

* Refactor full graph entity classification

* Refactor rgcn with sampling

* README update

* Update

* Results update

* Respect default setting of self_loop=false in entity.py

* Update

* Update README

* Update for multi-gpu

* Update

* [doc] fix invalid link in user guide (#4468)

* [Example] directional_GSN for ogbg-molpcba (#4405)

* version-1

* version-2

* version-3

* update examples/README

* Update .gitignore

* update performance in README, delete scripts

* 1st approving review

* 2nd approving review
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* Clarify the message name, which is 'm'. (#4462)
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* [Refactor] Auto fix view.py. (#4461)
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* [Example] SEAL for OGBL (#4291)

* [Example] SEAL for OGBL

* update index

* update

* fix readme typo

* add seal sampler

* modify set ops

* prefetch

* efficiency test

* update

* optimize

* fix ScatterAdd dtype issue

* update sampler style

* update
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* [CI] use https instead of http (#4488)

* [BugFix] fix crash due to incorrect dtype in dgl.to_block() (#4487)

* [BugFix] fix crash due to incorrect dtype in dgl.to_block()

* fix test failure in TF

* [Feature] Make TensorAdapter Stream Aware (#4472)

* Allocate tensors in DGL's current stream

* make tensoradaptor stream-aware

* replace TAemtpy with cpu allocator

* fix typo

* try fix cpu allocation

* clean header

* redirect AllocDataSpace as well

* resolve comments

* [Build][Doc] Specify the sphinx version (#4465)
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* reformat

* reformat

* Auto fix update-version

* Auto fix setup.py

* reformat

* reformat
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* Move mock version of dgl_sparse library to DGL main repo (#4524)

* init

* Add api doc for sparse library

* support op btwn matrices with differnt sparsity

* Fixed docstring

* addresses comments

* lint check

* change keyword format to fmt
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* [DistPart] expose timeout config for process group (#4532)

* [DistPart] expose timeout config for process group

* refine code

* Update tools/distpartitioning/data_proc_pipeline.py
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* [Feature] Import PyTorch's CUDA stream management (#4503)

* add set_stream

* add .record_stream for NDArray and HeteroGraph

* refactor dgl stream Python APIs

* test record_stream

* add unit test for record stream

* use pytorch's stream

* fix lint

* fix cpu build

* address comments

* address comments

* add record stream tests for dgl.graph

* record frames and update dataloder

* add docstring

* update frame

* add backend check for record_stream

* remove CUDAThreadEntry::stream

* record stream for newly created formats

* fix bug

* fix cpp test

* fix None c_void_p to c_handle

* [examples]educe memory consumption (#4558)

* [examples]educe memory consumption

* reffine help message

* refine

* [Feature][REVIEW] Enable DGL cugaph nightly CI  (#4525)

* Added cugraph nightly scripts

* Removed nvcr.io//nvidia/pytorch:22.04-py3 reference
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* Revert "[Feature][REVIEW] Enable DGL cugaph nightly CI  (#4525)" (#4563)

This reverts commit ec171c64

.

* [Misc] Add flake8 lint workflow. (#4566)

* Add pyproject.toml for autopep8.

* Add pyproject.toml for autopep8.

* Add flake8 annotation in workflow.

* remove

* add

* clean up
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* [Misc] Try use official pylint workflow. (#4568)

* polish update_version

* update pylint workflow.

* add

* revert.
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* [CI] refine stage logic (#4565)

* [CI] refine stage logic

* refine

* refine

* remove (#4570)
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* Add Pylint workflow for flake8. (#4571)

* remove

* Add pylint.
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* [Misc] Update the python version in Pylint workflow for flake8. (#4572)

* remove

* Add pylint.

* Change the python version for pylint.
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* Update pylint. (#4574)
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* [Misc] Use another workflow. (#4575)

* Update pylint.

* Use another workflow.
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* Update pylint. (#4576)
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* Update pylint.yml

* Update pylint.yml

* Delete pylint.yml

* [Misc]Add pyproject.toml for autopep8 & black. (#4543)

* Add pyproject.toml for autopep8.

* Add pyproject.toml for autopep8.
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* [Feature] Bump DLPack to v0.7 and decouple DLPack from the core library (#4454)

* rename `DLContext` to `DGLContext`

* rename `kDLGPU` to `kDLCUDA`

* replace DLTensor with DGLArray

* fix linting

* Unify DGLType and DLDataType to DGLDataType

* Fix FFI

* rename DLDeviceType to DGLDeviceType

* decouple dlpack from the core library

* fix bug

* fix lint

* fix merge

* fix build

* address comments

* rename dl_converter to dlpack_convert

* remove redundant comments
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* [Deprecation] Dataset Attributes (#4546)

* Update

* CI

* CI

* Update
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* [Example] Bug Fix (#4665)

* Update

* CI

* CI

* Update

* Update
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* Update

* Update (#4724)
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* change DGLHeteroGraph to DGLGraph in DOC

* revert c change
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* Update

* CI

* Update

* Update

* Fix

* Fix

* initial update

* more

* more

* multi-gpu example

* cluster gcn, finalize homogeneous

* more explanation

* fix

* bunch of fixes

* fix

* RGAT example and more fixes

* shadow-gnn sampler and some changes in unit test

* fix

* wth

* more fixes

* remove shadow+node/edge dataloader tests for possible ux changes

* lints

* add legacy dataloading import just in case

* fix

* update pylint for f-strings

* fix

* lint

* lint

* lint again

* cherry-picking commit fa9f494

* oops

* fix

* add sample_neighbors in dist_graph

* fix

* lint

* fix

* fix

* fix

* fix tutorial

* fix

* fix

* fix

* fix warning

* remove debug

* add get_foo_storage apis

* lint

* Fix ref to message-passing guide

* Fix pygments and spacing

* Update build documentation steps in README.md

* Use links

* Adjust parameters in SAGEConv docstring in same order as init

* Fix spelling error

* Change doc link

* Update

* Update

* CI

* 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
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* Update

* Update

* Update dependencies

* Update

* Update

* Fix ogbn-products gat

* Update

* Update

* Reformat

* Fix typo in node2vec_random_walk

* Specify file encoding

* Working for 6.7

* Update

* Fix subgraph

* Fix doc for sample_neighbors_biased

* Fix hyperlink

* Add example for udf cross reducer

* Fix

* Add example for slice_batch

* Replace dgl.bipartite

* Fix GATConv

* Fix math rendering

* Fix doc
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* fix.

* fix.

* fix.

* fix.

* Fix test

* Deprecate old DistEmbedding impl, use synchronized embedding impl

* update doc
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* [Feature] apply dgl.reorder() onto several node classification datasets in DGL

* rebase on latest dgl.reorder_graph()

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* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Fix

* Update

* Fix subgraph tests

* Capture stdout for distributed test

* Capture stdout for distributed test

* Update

* Update

* Update

* Update subgraph.cc
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* correct the matrix multiplication symbols

* modified dimensionality of linear
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* Draft for sparse emb

* add some notes

* Fix

* Add sparse optim for dist pytorch

* Update test

* Fix

* upd

* upd

* Fix

* Fix

* Fix bug

* add transductive exmpale

* Fix example

* Some fix

* Upd

* Fix lint

* lint

* lint

* lint

* upd

* Fix lint

* lint

* upd

* remove dead import

* update

* lint

* update unitest

* update example

* Add adam optimizer

* Add unitest and update data

* upd

* upd

* upd

* Fix docstring and fix some bug in example code

* Update rgcn readme
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* remove num_workers.

* remove num_workers.

* remove num_workers.

* remove num-servers.

* update error message.

* update docstring.

* fix docs.

* fix tests.

* fix test.

* fix.

* print messages in test.

* fix.

* fix test.

* fix.
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* [Bugfix] add default value for BlockSampler

* [Doc] modify user_guide description about MultiLayerDropoutSample
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* reorg

* change titles

* rm some stale API doc; minor fix

* fix docs

* add warning

* rm new-tutorial run in ci

* lint

* fix doc

* update docstring for transformation on batch graph

* update cn guide

* fix format

* update rst

* update

* Misc fix

* Update

[Dataset] Change the Data Type of the Node Features in GINDataset/TUDataset from Float64 to Float32 (#2592)

* Update

* Update

* Update

* update
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* [Doc] Add Chapter 7

* [Doc] Add CN part 7, 7.1, 7.2, and 7.3

* [Doc] Add CN part 7, 7.1, 7.2, and 7.3

* [Doc] 1st round copyediting, 7, 7.1, 7.2, and 7.3, removing EN parts.

* [Doc] 2nd round copyediting.

* [Doc] 3rd round copyediting.

* [Doc] Copyedit with reviewers' comments.
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* [Doc] Add 1st CN in chapter 6

* [Doc] Add 1st CN in chapter 6

* [Doc] Add 1st CN in chapter 6.1

* [Doc] Add 1st CN in chapter 6.1

* [Doc] Add 1st CN in chapter 6.2

* [Doc] Add CN in chapter 6.2

* [Doc] Add CN in chapter 6.3

* [Doc] Fix a code bug in chapter 6.3

* [Doc] Add CN in chapter 6.4, 6.5, and 6.6.

* [Doc] Add CN in chapter 6.4, 6.5, and 6.6，then remove EN parts.

* [Doc] revised 6.4, 6.5, and 6.6.

* [Doc] 2nd round of copyediting.

* Delete syn1.bin

Remove this unrelated file to this branch

* [Doc] Update guide_cn index.rst.

* [Doc] Update guide_cn index.rst.

* [Doc] Update guide_cn index.rst.

* [Doc] Update guide_cn index.rst.

* [Doc] Add chapter 7 in index page

* [Doc] edit chapter 6 in PR

* [Doc] edit chapter 6 in PR

* [Doc] Copyediting with Murphy and Minjie's comments.

* [Doc] Fix doc line in the previous chapters.
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* update graphdataloader in docs

* fix

* update examples

* fix sagpool
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* Update gatedgraphconv.py

* Update entity_classify.py

* Update data-process.rst

* Update reading_data.py

* Update data-process.rst

* Update utils.py

* Update knowledge_graph.py

* Update entity_classify.py

* Update rdf.py

* Update entity_classify_mb.py

* Update test_classify.py

* Update tensor.py

* Update sparse.py

* Update entity_classify_mp.py

* Update 6_line_graph.py

* remove details about message passing optimization

* address comments

* [Doc] Add CN index page

* [Doc] Test table in contributor list

* [Doc] Test table in contributor list

* [Doc] Add table contents in contributor list

* [Doc] Add table contents in contributor list

* [Doc] Edit table contents in contributor list

* [Doc] Edit table contents in contributor list
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* [Doc] Add CN chapter 5

* [Doc] Add CN 5.1

* [Doc] Add CN 5.2, 5.3, and 5.4 raw text

* [Doc] Add CN 5.2, 5.3, and 5.4 raw text

* [Doc] Put 5.1 CN parts

* [Doc] Put 5.2，5.3, and 5.4 raw CN parts

* [Doc] Fix linkage bugs.

* [Doc] 1st round of copyediting, Chapter5, 5.1, and part of 5.2

* [Doc] 2nd round of copyediting, removing EN parts.

* [Doc] 2nd round of copyediting, removing EN parts.

* [Doc] 2nd round of copyediting, removing EN parts.

* [Doc] 2nd round of copyediting, removing EN parts.

* [Doc] 3rd round of copyediting.

* [Doc] 4th round of copyediting to Minjie's comments.

* [Doc] 4th round of copyediting to Minjie's comments.

* [Doc] 4th round of copyediting to Minjie's comments.

* [Doc] 4th round of copyediting to Minjie's comments.

* [Doc] 4th round of copyediting to Minjie's comments.

* [Doc] 4th round of copyediting to Minjie's comments.

* [Doc] 5th round of copyediting to Murphy's comments.

* PPIDataset

* Revert "PPIDataset"

This reverts commit 264bd0c960cfa698a7bb946dad132bf52c2d0c8a.

* data pipeline user guide

* remove chapter numbers

* Update data.rst

* image in dataset userguide

* update links using ref

* modify the link of save_graphs and load_graphs in dataset user guide

* move image to s3 server.

* fix links and ref

* Hide implementations that may cause confusions to the user

* Update

* Update

* Update

* [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

* Update README.md

* [Fix] Temporary remove compgcn

* [Doc] Add CN user guide chapter2

* [Test] Tunning format

* [Test] Tunning format

* [Test] Tunning format

* [Test] Tunning format

* [Test] Tunning format

* [Test] Section headers

* [Fix] Fix format errors

* [Fix] Fix format errors

* [Fix] Fix format errors

* [Doc] Add CN-EN EN-CN links

* [Doc] Add CN-EN EN-CN links

* [Doc] Copyedit chapter2

* [Doc] Copyedit chapter2

* [Doc] Remove EN in 2.1

* [Doc] Remove EN in chapter 2

* [Doc] Copyedit first 2 sections

* [Doc] Copyedit first 2 sections

* [Doc] copyedited chapter 2 CN

* [Doc] Add chapter 3 raw texts

* [Doc] Add chapter 3 preface and 3.1

* [Doc] Add chapter 3.2 and 3.3

* [Doc] Add chapter 3.2 and 3.3

* [Doc] Add chapter 3.2 and 3.3

* [Doc] Remove EN parts

* [Doc] Copyediting 3.1

* [Doc] Copyediting 3.2 and 3.3

* [Doc] Proofreading 3.1 and 3.2

* [Doc] Proofreading 3.2 and 3.3

* [Doc] Add chapter 4 CN raw text.

* [Clean] Remove codes in other branches

* [Doc] Start to copyedit chapter 4 preface

* [Doc] copyedit CN section 4.1

* [Doc] Remove EN in User Guide Chapter 4

* [Doc] Copyedit chapter 4.1

* [Doc] copyedit cn chapter 4.2, 4.3, 4.4, and 4.5.

* [Doc] Fix errors in EN user guide graph feature and heterograph

* [Doc] 2nd round copyediting with Murph's comments

* [Doc] 3rd round copyediting with Murph's comments

* [Doc] 3rd round copyediting with Murph's comments

* [Doc] 3rd round copyediting with Murph's comments

* [Sync] syncronize with the dgl master

* [Doc] edited after Minjie's comments, 1st round

* update cub
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.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>