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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

* 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
Co-authored-by: 彭齐荣 <657017034@qq.com>

* [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
Co-authored-by: zhenliangqiu <ubuntu@ip-172-31-24-245.ap-southeast-1.compute.internal>
Co-authored-by: xiny <xiny@nvidia.com>

Co-authored-by: Ubuntu <ubuntu@ip-172-31-53-142.us-west-2.compute.internal>

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

* Update

* CI

* Update

* Update

* Fix

* Fix

* wip: dataloading doc

* update dataloading package doc and many others

* lint

fix #3812
Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com>
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com>

* fix distributed multi-GPU example device

* try Join

* update version requirement in README

* use model.join

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

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

* 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
Co-authored-by: Xin Yao <xiny@nvidia.com>

* Update

* Update

* Update

* Fix

* Update

* Update

* Update

* Fix

* [Fix] be able to parse ids if numeric and non-numeric values are used together

* add required package info and cache note into docstring

* duplicate node id is not allowed

* enable to launch multiple client groups sequentially

* launch simultaneously is enabled

* refine docstring

* revert unnecessary change

* [DOC] add doc for long live server

* refine

* refine doc

* refine doc

* implement pin_memory/unpin_memory/is_pinned for dgl.graph

* update python docstring

* update c++ docstring

* add test

* fix the broken UnifiedTensor

* XPU_SWITCH for kDLCPUPinned

* a rough version ready for testing

* eliminate extra context parameter for pin/unpin

* update train_sampling

* fix linting

* fix typo

* multi-gpu uva sampling case

* disable new format materialization for pinned graphs

* update python doc for pin_memory_

* fix unit test

* UVA sampling for link prediction

* dispatch most csr ops

* update graphsage example to combine uva sampling and UnifiedTensor

* update graphsage example to combine uva sampling and UnifiedTensor

* update graphsage example to combine uva sampling and UnifiedTensor

* update doc

* update examples

* change unitgraph and heterograph's PinMemory to in-place

* update examples for multi-gpu uva sampling

* update doc

* fix linting

* fix cpu build

* fix is_pinned for DistGraph

* fix is_pinned for DistGraph

* update graphsage unsupervised example

* update doc for gpu sampling

* update some check for sampling device switching

* fix linting

* adapt for new dataloader

* fix linting

* fix

* fix some name issue

* adjust device check

* add unit test for uva sampling & fix some zero_copy bug

* fix linting

* update num_threads in graphsage examples
Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com>
Co-authored-by: Jinjing Zhou <VoVAllen@users.noreply.github.com>

* initial update

* more

* more

* multi-gpu example

* cluster gcn, finalize homogeneous

* more explanation

* fix

* bunch of fixes

* fix

* RGAT example and more fixes

* shadow-gnn sampler and some changes in unit test

* fix

* wth

* more fixes

* remove shadow+node/edge dataloader tests for possible ux changes

* lints

* add legacy dataloading import just in case

* fix

* update pylint for f-strings

* fix

* lint

* lint

* lint again

* cherry-picking commit fa9f494

* oops

* fix

* add sample_neighbors in dist_graph

* fix

* lint

* fix

* fix

* fix

* fix tutorial

* fix

* fix

* fix

* fix warning

* remove debug

* add get_foo_storage apis

* lint

Fix #3626

* Fix ref to message-passing guide

* Fix pygments and spacing

* Update build documentation steps in README.md

* Use links

* Adjust parameters in SAGEConv docstring in same order as init

* Fix spelling error

* Change doc link

* Update

* Update

* CI

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

Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.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
Co-authored-by: Ubuntu <ubuntu@ip-172-31-28-17.us-west-2.compute.internal>
Co-authored-by: Jinjing Zhou <VoVAllen@users.noreply.github.com>
Co-authored-by: Ubuntu <ubuntu@ip-172-31-22-156.us-west-2.compute.internal>

* fix.

* fix.

* fix.

* fix.

* Fix test

* Deprecate old DistEmbedding impl, use synchronized embedding impl

* update doc
Co-authored-by: Ubuntu <ubuntu@ip-172-31-71-112.ec2.internal>
Co-authored-by: Ubuntu <ubuntu@ip-172-31-2-66.ec2.internal>
Co-authored-by: Da Zheng <zhengda1936@gmail.com>
Co-authored-by: Jinjing Zhou <VoVAllen@users.noreply.github.com>

* [Feature] apply dgl.reorder() onto several node classification datasets in DGL

* rebase on latest dgl.reorder_graph()

* add user guide for gpu sampling

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

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
Co-authored-by: Ubuntu <ubuntu@ip-172-31-28-17.us-west-2.compute.internal>
Co-authored-by: Jinjing Zhou <VoVAllen@users.noreply.github.com>

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

* correct the matrix multiplication symbols

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

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

Co-authored-by: Zheng <dzzhen@3c22fba32af5.ant.amazon.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
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
Co-authored-by: Ubuntu <ubuntu@ip-172-31-57-25.ec2.internal>
Co-authored-by: Ubuntu <ubuntu@ip-172-31-24-210.ec2.internal>
Co-authored-by: Ubuntu <ubuntu@ip-172-31-2-66.ec2.internal>

* 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.
Co-authored-by: Ubuntu <ubuntu@ip-172-31-9-132.us-west-1.compute.internal>

* [Bugfix] add default value for BlockSampler

* [Doc] modify user_guide description about MultiLayerDropoutSample
Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com>