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* 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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* fix

* fix type
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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] enable edge reorder in dgl.reorder_graph()

* refine doc string

* refine doc string for dgl.reorder_graph

* refine doc string further

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* add docstring for missing API; fix some docstring

* rename apis; address comments

* [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 knn benchmark result

* update

* [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

.
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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
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* 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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* reorg and expose dgl.geometry

* fix lint

* fix test

* fix

* 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

* 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
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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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* [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

* reorg

* change titles

* rm some stale API doc; minor fix

* fix docs

* add warning

* rm new-tutorial run in ci

* lint

* update DistGraph docstrings.

* add user guide.

* add doc string.

* fix.

* fix.

* fix.
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* update doc of dgl.function

* small fix

* add tvm as submodule

* compilation is ok but calling fails

* can call now

* pack multiple modules, change names

* upd

* upd

* upd

* fix cmake

* upd

* upd

* upd

* upd

* fix

* relative path

* upd

* upd

* upd

* singleton

* upd

* trigger

* fix

* upd

* count reducible

* upd

* upd

* upd

* upd

* upd

* upd

* upd

* upd

* upd

* only keep related files

* upd

* upd

* upd

* upd

* lint

* lint

* lint

* lint

* pylint

* upd

* upd

* compilation

* fix

* upd

* upd

* upd

* upd

* upd

* upd

* upd doc

* refactor

* fix

* upd number
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* Add sparse embedding for dgl and update rgcn example

* upd

* Fix

* Revert "Fix"

This reverts commit 4da87cdfb8b8c3506b7fc7376cd2385ba8045c2a.

* Fix

* upd

* upd

* Fix

* Add unitest and update impl

* fix

* Clean up rgcn example code

* upd

* upd

* update

* Fix

* update score

* sparse for sage

* remove model sparse

* upd

* upd

* remove global norm

* revert delete model_sparse.py

* update according to comments

* Fix doc

* upd

* Fix test

* upd

* lint

* lint

* lint

* upd

* upd

* clean up
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* add edge weight in forward

* fix lint

* fix

* fix

* address comments

* add utils

* add util to normalize in gcn way

* fix lint

* add unittest

* fix lint

* fix docstring

* fix docstring

* address comments

* improve notation consistence

* use preferred fn

* move edge_softmax to functional

* change examples

* fixes

* revert

* fix

* fix

* remove

* fix

* test

* add init
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* first commit

* more commit

* fix and docstring

* add to api reference

* address comments

* Update convert.py

* [Model] MixHop for Node Classification task

* [docs] update

* [docs] update

* [fix] remove seed option

* [fix] update readme

* [feature] support qm9 dataset

* [style] update

* [docs] fix the details

* [fix] indexing only support int

* [style] update

* [fix] multiple backends support

* [docs] add qm9

* [fix] Z type: float32 -> int32

* [fix] Z type: int32 -> long

* [docs] add ref

* [docs] fix

* [docs] update

* [docs] update

* [fix] test eval

* [docs] fix example
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* new tutorials for small graphs

* address changes and use GraphDataLoader

* fix and add data

* fix load_data

* style fixes

* Update 5_graph_classification.py

* add graph dataloader

* add to doc

* fix

* fix

* fix docstring

* update according to torch default_collate

* add unittest

* fix

* fix lint

* fix

* wip

* udp

* upd

* fix typo

* lint

* lint

* upd

* upd

* lint

* lint

* upd

* upd

* tftest

* fix

* fallback numpy

* fix tf

* docstring
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* upd

* fix-link

* lint