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* Update

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* first commit

* next commit

* third commit

* add ShaDow-GNN sampler and unit tests

* fixes

* lint

* cr*p

* lint

* fix lint

* fixes and more unit tests

* more tests

* fix docs

* lint

* fix

* fix

* fix

* fixes

* fix doc

* 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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* lint fix

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* Fix

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* Fix for TF

* [Model][Core] GATv2

* lint

* gatv2conv.py

* lint

* lint

* style and docs

* lint

* gatv2conv fix
Co-authored-by: Shaked Brody shakedbr@campus.technion.ac.il <shakedbr@tangerine.cslcs.technion.ac.il>
Co-authored-by: Mufei Li <mufeili1996@gmail.com>

* added nn pytorch egatconv

* aligned with test build

* aligned with test build

* fixed wihite spaces

* fixed wihite spaces

* fixed wihite spaces

* added missing egatconv in imports

* added indentation in forward

* GATConv based implementation

* removed **kw_args

* added dgl relative imports

* PR corrections

* added DGL Error to EGATConv imports

* Update test_nn.py
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* Doc: HetGConv note for `edge_type_subgraph`

For the rational behind this note see the discussion in #3003.

* WIP: Requirements for building the docs.

Had to install all these packages to get further with building the docs.

Didn't successfully build them yet, tho.

* Test

* Update

* Update hetero.py

* Update hetero.py
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* allow for configuring default_dir

* allow for using DGLDEFAULTDIR environment variable

* Update env_var.rst
Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com>
Co-authored-by: Jinjing Zhou <VoVAllen@users.noreply.github.com>

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

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

* Add pytorch-direct version

* remove

* add documentation for UnifiedTensor

* Revert "add documentation for UnifiedTensor"

This reverts commit 63ba42644d4aba197c1cb4ea4b85fa1bc43b8849.

* add UnifiedTensor documentation

* Update python/dgl/contrib/unified_tensor.py
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DGL_LOADALL=true is not used in the code anymore.

* fix

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

Co-authored-by: Tong He <hetong007@gmail.com>

* 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()

* [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
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* add instructions for VC2015 redist install

* fix typo

* add knn benchmark result

* update

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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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* [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
Co-authored-by: zhjwy9343 <6593865@qq.com>

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

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* 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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Co-authored-by: xiang song(charlie.song) <classicxsong@gmail.com>

* 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

Co-authored-by: zhjwy9343 <6593865@qq.com>

* 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
Co-authored-by: xiang song(charlie.song) <classicxsong@gmail.com>

* fix.
Co-authored-by: xiang song(charlie.song) <classicxsong@gmail.com>