GitLab

* update

* update

* update

* update

* lint

* lint

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* lint

* update

* clone

* update

* update

* update

* update

* replace idarray with ndarray

* refactor cpp part

* refactor python part

* debug

* refactor interface

* test and doc

* lint and test

* lint

* fix

* fix

* fix

* const

* doc

* fix

* fix

* fix

* fix

* fix & doc

* fix

* fix

* fix

* fix

* fix

* fix

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

Fix a typo in the tutorial for "Introduction of Neighbor Sampling for GNN Training".
Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com>

* Fix #2808

* fix

* fix

* fix

* fix

* fix

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

* Update

* Update

* Update tutorials/multi/1_graph_classification.py
Co-authored-by: Tong He <hetong007@gmail.com>

* Update

* Update

* Update
Co-authored-by: Ubuntu <ubuntu@ip-172-31-4-21.us-west-2.compute.internal>
Co-authored-by: Tong He <hetong007@gmail.com>

* speed up random number generation.

* fix lint.

* Fix

* fix.
Co-authored-by: Zheng <dzzhen@3c22fba32af5.ant.amazon.com>

* add two fraud dataset

* add comments and modify to heterogenous graph

* modify the node name based on datasets

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

* [Feature] fix #2876, add two fake news datasets

* add name assertion

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

* explicitly set the graph format.

* fix.

* fix.

* fix launch script.

* fix readme.
Co-authored-by: Zheng <dzzhen@3c22fba32af5.ant.amazon.com>
Co-authored-by: xiang song(charlie.song) <classicxsong@gmail.com>
Co-authored-by: Ubuntu <ubuntu@ip-172-31-71-112.ec2.internal>

Move pointer dereferencing in CDFSampler::draw() and AliasSampler::draw() to inside of conditional (#2943)
Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com>

* Add NCCL as a submodule

* Allow using third_party/nccl or system nccl

* Add nccl_external as a dependency

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

* PPIDataset

* Revert "PPIDataset"

This reverts commit 264bd0c960cfa698a7bb946dad132bf52c2d0c8a.

* data pipeline user guide

* remove chapter numbers

* Update data.rst

* image in dataset userguide

* update links using ref

* modify the link of save_graphs and load_graphs in dataset user guide

* move image to s3 server.

* fix links and ref

* Hide implementations that may cause confusions to the user

* add papers

* fix number of classes in Amazon Cobuy datasets

* add two papers to Awesome paper list

* Update README.md

* add four papers

* add two papers

* Add awesome papers

* Fix index in paper list
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com>

Fix a typo in the tutorial for "Link Prediction using Graph Neural Networks".
Co-authored-by: Jinjing Zhou <VoVAllen@users.noreply.github.com>

[Feature][Performance] Implement NCCL wrapper for communicating NodeEmbeddings and sparse gradients. (#2825)

* Split NCCL wrapper from sparse optimizer and sparse embedding

* Add more unit tests for single node nccl

* Fix unit test for tf

* Switch to device histogram

* Fix histgram issues

* Finish migration to histogram

* Handle cases with zero send/recieve data

* Start on partition object

* Get compiling

* Updates

* Add unit tests

* Switch to partition object

* Fix linting issues

* Rename partition file

* Add python doc

* Fix python assert and finish doxygen comments

* Remove stubs for range based partition to satisfy pylint

* Wrap unit test in GPU only

* Wrap explicit cuda call in ifdef

* Merge with partition.py

* update docstrings

* Cleanup partition_op

* Add Workspace object

* Switch to using workspace object

* Move last remainder based function out of nccl_api

* Add error messages

* Update docs with examples

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

Co-authored-by: Ubuntu <ubuntu@ip-172-31-57-25.ec2.internal>
Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com>

* add bruteforce impl

* add support for bruteforce-sharemem

* modify python API

* add tests

* change file path

* change python API

* fix lint

* fix test

* also check worst_dist in the last few dim

* use heap and early-stop on CPU

* fix lint

* fix lint

* add device check

* use cuda function to determine max shared mem

* use cuda to determine block info

* add memory free for tmp var

* update doc-string and add dist option

* fix lint

* add more tests
Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com>
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com>

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

* 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.
Co-authored-by: Zheng <dzzhen@3c22fba32af5.ant.amazon.com>
Co-authored-by: xiang song(charlie.song) <classicxsong@gmail.com>

* fixing #2921

* fixing #2921

* add lda model

* tweak latent dirichlet allocation

* Update README.md

* Update README.md

* update example index

* update header

* minor tweak

* add example test

* update doc

* Update README.md

* Update README.md

* add partial_fit for free

* Update examples/pytorch/lda/lda_model.py
Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com>

* Update examples/pytorch/lda/example_20newsgroups.py
Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com>

* Update lda_model.py

* bugfix torch Gamma uses rate parameter
Co-authored-by: Yifei Ma <yifeim@amazon.com>
Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com>

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

* 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>

* add: udf support for `cross_reducer`

* update: code lint

* update: reducer without stack

* docs: add docs for udf cross_reducer

* chore: fix code lint

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

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

* support multidimensional features for GAT

* docstring

* lint

* fix

* standardizing thread_wrapped_func

* lints

* Update __init__.py

Co-authored-by: Zheng <dzzhen@3c22fba32af5.ant.amazon.com>

Co-authored-by: Da Zheng <zhengda1936@gmail.com>

* [example] label propagation and correct&smooth

* update

* update

* update

* update

* [docs] add speed for c&s

* update

* [fix] remove gat&consistent with the author's code

* [feat] multi-type adj norm supported

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

* fix

* fix

* debug

* fix

* fix

* fix

* fix

* ci

* fix

* fix

* remove duplicate instruction

* need this file in the main branch

* add nightly

* Delete nightly.jenkins

* graphsaint

* graphsaint

* graphsaint

* graphsaint

* fixed the model

* fixed some bugs

* fixed the computing of normalization and updated the results

* fixed some bugs and updated the results

* Update utils.py

* Update train_sampling.py

* Update train_sampling.py
Co-authored-by: Mufei Li <mufeili1996@gmail.com>
Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com>

* Update heterograph.py

* remove unit tests

* replace tutorial

* pytorch lightning initial examples

* revert most changes in dataloader to favor #2886.

* address comments

* 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>

* Make loader items iterator

* Update test_dataloader.py

* Update __init__.py

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

* adapt send_and_recv example

* lint fix

* Change title and example order

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