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

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

* docstring formula update

* added gcn2

* added GCN2Conv

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

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

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

* 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
Co-authored-by: Zhi Lin <linzhilynn@gmail.com>
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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
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com>

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

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

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

* upd

* fix-link

* lint

* Update

* Update

* Update

* Disable copying for anywhere but the GPU

* Remove unused import and remove references to transferring from the GPU from the docs

* Skip gpu test in cpu mode
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com>

* Update docs

* Make non-default streams non-blocking

* Add async transferer class

* Add async ndarray copy interface

* Add python bindings

* Fix comment

* Add python class

* Fix linting issues

* Add python unit test

* Update python interface

* move async_transferer to cuda only directory

* Fix linting issue

* Move out of contrib

* Add doc strings

* Move test compute from backend

* Update comment

* Fix test naming

* Fix argument usage

* Wrap/unwrap backend parameters

* Move to dataloading

* Move to 'dataloading'

* Make GPU/CPU compatible

* Fix unit tests

* Add docs

* Use only backend interface for datamovement in unit test

* Update Doc for UDFs

* add degree bucketing explanation

* Update udf.rst

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

* Update dgl.DGLGraph.rst

* Update gcn.py