GitLab

* commit hetgnn

* Update README.md

* Delete examples/pytorch/hetgnn directory

* Update README.md

* Update README.md

* Update README.md

* Revert "Update README.md"

This reverts commit 14cdb3da76c58665ff879eae17ecf9eb28b66cce.

* Update README.md

* Add files via upload

* Update README.md

* Update README.md

* reorg and expose dgl.geometry

* fix lint

* fix test

* fix

* [CPU Parallel] implementation of parallel_for with grain size

* Create parallel_for.h

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

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

* [Doc] modify the dimension of weight to Numpy broadcasting rule

* [Doc] modify the user defined reduce function
Co-authored-by: zhjwy9343 <6593865@qq.com>

Co-authored-by: zhjwy9343 <6593865@qq.com>
Co-authored-by: Jinjing Zhou <VoVAllen@users.noreply.github.com>

* add init version.

* fix build.

* fix format.

* fix.

* fix.

* fix format.

* update README.

* avoid running CI on distributed training tutorials.

* Update tutorials/dist/1_node_classification.py
Co-authored-by: xiang song(charlie.song) <classicxsong@gmail.com>

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

* add

* fix

* set default

* fix

* try master

* try fix

* try

* fix

* 111

* fix

* fix

* update

* ccc

* try

* fix

* fix

* try new machine

* fix

* fix

* fix

* Revert "fix"

This reverts commit e716d66b046f92fe7ae368947a51a036a7a3188a.

* try

* more parrallel

* use k8s for all

* fix name

* try not specify instance type

* ci

* use one yaml

* Revert "use one yaml"

This reverts commit 717d8d852be39fbf2e2e45f9f224aa97907c372c.

* add timeout

* fix permission

* mount efs

* print

* fix pvc

* fix

* restrict num of gpu instances

* check

* fix

* fix

* make to_heterogeneous and to_homogeneous invertible

* docstring

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

* tahin

* readme

* readme

* readme

* readme

* readme

* readme

* main

* main

* new_line

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

* SpMM for heterograph

* C APIs SDDMM heterograph

* passes initial result

* renamed eid with nid

* aggregation on same ntype for multiple etypes

* fix link check failure

* lint check part 2

* lint check part 3

* Fixed SpMMCmpCsr Min op

* added mem references

* fixed fill(Max/Min), added const

* removed newline

* brought back docstring
Co-authored-by: Israt Nisa <nisisrat@amazon.com>
Co-authored-by: Da Zheng <zhengda1936@gmail.com>

* correct the matrix multiplication symbols

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

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

* fix regression ram info

* fix

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

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

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

corrected docstring, the model uses two R-GCN layers
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com>

* Enable C++ tests on GPU

* Add missing '--runtime nvidia'

* 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>