GitLab

* Fix infograph example

* Update

* Revert the changes and update Doc

* Update

* Split lines to pass CI-lint

* Update

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

* bunch of fixes

* Update test_edge_softmax_hetero.py

* Update test_edge_softmax_hetero.py
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com>

* Fix doc and default settings for RelGraphConv

* Add unit test

* Split msg in two lines to pass CI-lint

* test ddp dataloader

* add pure_gpu for edgedataloader

* resolve ddp issue

* enable use for weighted neighbor sampler and biased random walk

* add unit tests

* fix for mxnet/tf

* fix typo

* Refactor GIN example

* Update

* Update README

* Minor update

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

* [CI] separate distributed tests from torch cpu tests

* remove TF related env

* 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>

* [DistTest] fix incorrect shell if statement

* fix incorrect use of dist.initialize()

* Fixed device type in inference

* change buffer_device instead

* Update

* Update functional.py

* Update

* Update test_transform.py

* Update

* Update functional.py

* Update functional.py

* Update functional.py

* Update functional.py

* Update

* Update

* Update functional.py

* Update functional.py

* Update functional.py

* Update functional.py

* Update module.py

* Update test_transform.py

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

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

* [Log] fix confusing error log in TCPSocket::Bind()

* fix lint

* Modify to repro crash

* Revert to orig. scenario and add fix

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

Signed-off-by: Serge Panev <spanev@nvidia.com>
Co-authored-by: Mufei Li <mufeili1996@gmail.com>

* Refactor gat example

* Add ppi support

* Minor update

* Update

* Update

* Change valid_xxx to val_xxx

* Readme Update

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

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

* upload PSS

* upload PSS

* upload PSS

* pss code reformat

* fix bug

* update README

* update train bash

* remove vit

* update README

* delete InfoPlotter

* delete Smooth_AP_loss.py

* update README

* update README
Co-authored-by: Tianjun Xiao <xiaotj1990327@gmail.com>

Signed-off-by: Serge Panev <spanev@nvidia.com>
Co-authored-by: Rhett Ying <85214957+Rhett-Ying@users.noreply.github.com>

* Fix node_classification.py

* Minor update
Co-authored-by: nv-dlasalle <63612878+nv-dlasalle@users.noreply.github.com>

Signed-off-by: Serge Panev <spanev@nvidia.com>
Co-authored-by: Rhett Ying <85214957+Rhett-Ying@users.noreply.github.com>

* [Doc] fix docstring typo

* Update sparse_emb.py

* Update sparse_emb.py

* update link

* Update

* Update

* Update

* Update
Co-authored-by: Ubuntu <ubuntu@ip-172-31-53-142.us-west-2.compute.internal>
Co-authored-by: Xin Yao <xiny@nvidia.com>

* Fix test_csrmm for tensor core

* unset allow tf32 flag

* update test unified tensor

* skip fp16 for CPU

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

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

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

* record stream when using another cuda stream for data transfer

* fix linting

* fix None stream

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

* feature: add a parse parameter degree_as_nlabel for pytorch-gin demo

* fix some typo

* [fix]: allow to benchmark all of the 9 dataset.

* [Feature] add epoch number to log

* [Feature]:simply list the command lines for all datasets (https://github.com/dmlc/dgl/pull/3676#discussion_r790270705) and run a test.

* Update README.md

* update: DGL-powered projects-DGLD

[DGLD](https://github.com/EagleLab-ZJU/DGLD

) is an open-source library for Deep Graph Anomaly Detection based on pytorch and DGL.  It provides unified interface of popular graph anomaly detection methods, including the data loader, data augmentation, model training and evaluation. Also, the widely used modules are well organized so that developers and researchers can quickly implement their own designed models.
Co-authored-by: Ubuntu <ubuntu@ip-172-31-10-175.ap-northeast-1.compute.internal>
Co-authored-by: Mufei Li <mufeili1996@gmail.com>