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* Update distributed-preprocessing.rst

* Update
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* Update

* rollback for partition_algo/random.py
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* dist index chapter

* preproc chapter

* rst

* tools page

* partition chapter

* rst

* hetero chapter

* 7.1 step1

* add parmetis back

* changed based on feedback

* address comments

* [Feature] enable graph partition book support canonical etypes

* fix lint

* fix lint

* add todo

* refine according to review comments

* fix lint

* refine naming

* revert PartitionPolicy __init__

* refine docstring

* fix doc string

* add weighted sampling without replacement (A-Chao)

* improve Algorithm A-Chao with block-wise prefix sum

* correctly fill out_idxs

* implement weighted sampling with replacement

* small fix

* merge host-side code of weighted/uniform sampling

* enable unit tests for cuda weighted sampling

* move thrust/cub wrapper to the cmake file

* update docs accordingly

* fix linting

* fix linting

* fix unit test

* Bump external CUB/Thrust versions

* Fix code style and update description of algorithm design

* [Feature] GPU support weighted graph neighbor sampling
commit by pengqirong(OPPO)

* merge pengqirong's implementation

* revert the change to cub and thrust

* fix linting

* use DeviceSegmentedSort for better performance

* add more comments

* add necessary notes

* add necessary notes

* resolve some comments

* define THRUST_CUB_WRAPPED_NAMESPACE

* fix doc
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* [Feature] Add CUDA Weighted Randomwalk Sampling

* [Feature] Add CUDA Weighted Randomwalk Sampling

* [Feature] Add CUDA Weighted Randomwalk Sampling

* [Feature] Add CUDA Weighted Randomwalk Sampling

* fix empty prob array && enable non-uniform for restart && enable unit tests

* update doc and guide for randomwalk and pinsage

* update comments
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* Added to_cugraph and from_cugraph functionality

* fix from_cugraph example

* Addressed Reviews

* Fix linting

* Apply suggestions to docstrings from code review
Co-authored-by: Minjie Wang <minjie.wang@nyu.edu>

* Add API docs and remove `from_cugraph` alias

* move cugraph tests to  tests/cugraph/test_basics.py

* remove ununsed imports from test_basics.py

* remove pytest.importorskip as no longer needed
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* [Dist] defer to load node/edge feats

* fix lint

* Update python/dgl/distributed/partition.py
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* Update python/dgl/distributed/partition.py
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* fix lint
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* * Added functions from dgl.transforms.functional that were missing from the list for documentation in dgl.rst

* * Sorted transform ops list in dgl.rst in alphabetical order
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* Add Flickr and Yelp dataset

* Update flickr.py

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* Fix bugs & Update dataset

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* add label propagation module

* fix prev bug in example

* add dgn

* fix linting and doc issues

* update label propagation & dgn

* update label propagation & dgn

* update example

* fix unit test

* fix agg heritage issue

* fix agg issue

* fix lint

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* [Model]P-GNN

* updata

* [Example]P-GNN

* Update README.md

* Add NodeFeatureMasking and NormalizeFeatures

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* fix docs

* remove

* oh

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* enable UVA sampling with CPU indices

* add docs

* add more docs

* lint

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* better error message

* use mp.Barrier instead of queues

* revert

* revert

* oops

* revert dgl.multiprocessing.spawn

* Update pytorch.py

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* fix egnn issues

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* update pna conv

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* fix unused args issue

* fix moment aggregation issue
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* radius graph

* remove trailing whitespaces from docs

* disable invalid name for transform func

* disable radius graph module invalid name

* move pylint disable before init

* fix missing nodes from point set

* update docs indexing

* add compute mode as optional param

* radius graph test

* remove trailing whitespaces

* fix precision when comparing tensors
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* [Transform] Random Walk Positional Encoding & Laplacian Positional Encoding

* Update python/dgl/transforms/module.py
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* Update python/dgl/transforms/functional.py
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* Update python/dgl/transforms/functional.py
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* Update python/dgl/transforms/functional.py
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* Update python/dgl/transforms/functional.py
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* Update python/dgl/transforms/functional.py
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* Update python/dgl/transforms/functional.py & python/dgl/transforms/module.py

* update python/dgl/transforms/functional.py

* update doc indexing

* update unit test

* support weighted graphs for random_walk_pe

* change reference

* fix linter errors

* fix datatype compatibility with MXNet & TF

* fix device errors

* fix result precision errors

* change tensorflow abs api

* reboost CI
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* Fix
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* wip: dataloading doc

* update dataloading package doc and many others

* lint

fix #3812
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* fix distributed multi-GPU example device

* try Join

* update version requirement in README

* use model.join

* fix docs
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* Update nn-pytorch.rst

* Update dgl.data.rst

* Update dgl.rst

* huuuuge update

* remove

* lint

* lint

* fix

* what happened to nccl

* update multi-gpu unsupervised graphsage example

* replace most of the dgl.mp.process with torch.mp.spawn

* update if condition for use_uva case

* update user guide

* address comments

* incorporating suggestions from @jermainewang

* oops

* fix tutorial to pass CI

* oops

* fix again
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* Update

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* Fix

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* Fix

* add train_idx/val_idx/test_idx as dataset attributes

* refine docstring