GitLab

* 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()

* [Feature] enable edge reorder in dgl.reorder_graph()

* refine doc string

* refine doc string for dgl.reorder_graph

* refine doc string further

Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com>

* add docstring for missing API; fix some docstring

* rename apis; address comments

* add user guide for gpu sampling

* Update minibatch-gpu-sampling.rst
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com>

* [Feature] Add dgl.reorder() to re-order graph according to specified strategy

* fix unit test failure for metis reorder

* fix unit test failure on mxnet_cpu

* refine unit test for dgl.reorder

* fix unit test failure on mxnet

* fix array_equal error for mxnet unit test

* fix unit test failure for mxnet

* convert metis output to numpy array explicitly
Co-authored-by: Tong He <hetong007@gmail.com>

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* add instructions for VC2015 redist install

* fix typo

* add knn benchmark result

* update

Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com>

* 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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* [Feature] add positive negative statistics

* [Feature] add permission information and fix import problem

* fix backend incompatible problem

* modify random split to remove sklearn usage

* modify file read to remove pandas usage

* add datasets into doc

* add random seed in data splitting

* add dataset unit test

* usage permission information update
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This reverts commit cba5b188

.
Co-authored-by: Jinjing Zhou <VoVAllen@users.noreply.github.com>

* [Feature] add positive negative statistics

* [Feature] add permission information and fix import problem

* fix backend incompatible problem

* modify random split to remove sklearn usage

* modify file read to remove pandas usage

* add datasets into doc
Co-authored-by: zhjwy9343 <6593865@qq.com>

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Add files via upload

* Add files via upload

* Add files via upload

* Add files via upload

* Update

* Update

* Add files via upload

* Add files via upload

* Update

* Lint

* Add files via upload

* Lint

* Update

* Update

* Update

* Update

* Update

* Lint Fix

* Lint
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* multi-GPU node classification tutorial

* Update 2_node_classification.py

* fixes

* elaborate a bit more

* address comments

* address comments

* reorg and expose dgl.geometry

* fix lint

* fix test

* fix

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* add init version.

* fix build.

* fix format.

* fix.

* fix.

* fix format.

* update README.

* avoid running CI on distributed training tutorials.

* Update tutorials/dist/1_node_classification.py
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* fix.
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* correct the matrix multiplication symbols

* modified dimensionality of linear
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Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com>

* Update

* Update

* Update tutorials/multi/1_graph_classification.py
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* Update

* Update

* Update
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* add distributed in-degree and out-degree.

* update comments.

* fix a bug.

* add tests.

* add tests.

* fix a bug.

* fix docstring.

* update doc.

* fix

* fix.
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* test commit

* fixes

* oops

* add docs

* lint

* why does it say I have a trailing whitespace

* oh ok

* fixes

* why there's an invalid argument error

* address comments

* fix

* address comments

* Auto stash before rebase of "origin/pytorch-nn-working"

GCNII model added

* linting

* linting

* lint

* Frequency Adaptive gcn init comit

* Revert "Frequency Adaptive gcn init comit"

This reverts commit 86a80586ac0040497c1edfa0e80df719992dcc4a.

* Update python/dgl/nn/pytorch/conv/gcn2conv.py

modified docstring
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* added beta formula and changed param name

* fix docstring

* lint

* white space lint

* update docstring
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* docstring formula update

* added gcn2

* added GCN2Conv

* Update nn.pytorch.rst
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* standardizing thread_wrapped_func

* lints

* Update __init__.py

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* add implementation of twirls

* format the code

* fix some format error, and ignore others

* fix format errors

* fix format errors

* expose unfolding & attention

* Update nn.pytorch.rst
Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com>

* Fix examples on negative graph sampler

In heterogeneous graph, the old example may build a negative graph without edges. In dgl.dataloading.dataloader line637, it shows the key of neg_edges dict should be item in g.canonical_etypes.

* poke ci
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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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* update distributed training doc.

* explain data split.

* fix message passing.

* id mapping.

* fix.

* test data reshuffling.

* fix a bug.

* fix test.

* Revert "fix test."

This reverts commit 907f1dd88994894db94ffcd77b5995279f76b489.

* Revert "fix a bug."

This reverts commit ff0a4d893bbe4911a75ecb04bcbd9bc65315166b.

* Revert "test data reshuffling."

This reverts commit 99bb2f6405de67fc73652220b02e7184461c3e5e.
Co-authored-by: Zheng <dzzhen@3c22fba32af5.ant.amazon.com>

* 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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* [Feature] Support QM9Edge Datset

* Update qm9_edge.py

* disable tqdm

* Update qm9_edge.py

* Update qm9_edge.py

* Update qm9_edge.py

* Update qm9_edge.py

* Update qm9_edge.py

* Update qm9_edge.py

* Update qm9_edge.py

* remove preprocessing part

* add comparisons in qm9.py

* [docs] add qm9edge dataset
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* rename block to mfg

* revert

* rename

Co-authored-by: Jinjing Zhou <VoVAllen@users.noreply.github.com>
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com>