GitLab

* 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>

* topk kNN accelerated on GPU

* Fix src offset

* Fix trailing whitespace

* Update segmented kNN

* Fix src / dst mixup

* Update kNN docstrings

* Fixed lint
Co-authored-by: Tong He <hetong007@gmail.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
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* kill training jobs.

* update.

* fix.
Co-authored-by: Zheng <dzzhen@3c22fba32af5.ant.amazon.com>
Co-authored-by: Ubuntu <ubuntu@ip-172-31-71-112.ec2.internal>
Co-authored-by: Ubuntu <ubuntu@ip-172-31-73-81.ec2.internal>
Co-authored-by: xiang song(charlie.song) <classicxsong@gmail.com>

* 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>

Co-authored-by: Ubuntu <ubuntu@ip-172-31-1-191.ec2.internal>
Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com>

* fix

* fix

* debug

* fix

* fix

* fix

* fix

* ci

* fix

* fix

* remove duplicate instruction

* init cuda support

* cuSPARSE err

* passed unittest for csr_mm/SpGEMM. int64 not supported

* Debugging cuSPARSE error 3

* csrgeam only supports int32?

* disabling int64 for cuda

* refactor and add CSRMask

* lint

* oops

* remove todo

* rewrite CSRMask with CSRGetData

* lint

* fix test

* address comments

* lint

* fix

* addresses comments and rename BUG_ON
Co-authored-by: Israt Nisa <nisisrat@amazon.com>
Co-authored-by: Ubuntu <ubuntu@ip-172-31-30-71.ec2.internal>
Co-authored-by: Quan Gan <coin2028@hotmail.com>
Co-authored-by: Jinjing Zhou <VoVAllen@users.noreply.github.com>
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com>

* Update

* update
Co-authored-by: Ubuntu <ubuntu@ip-172-31-59-108.us-west-2.compute.internal>

* [Example] add implementation of grace

* [Doc] add grace in the index file

* fix

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

* update distributed training doc.

* explain data split.

* fix message passing.

* id mapping.

* fix.

* test data reshuffling.

* fix a bug.

* fix test.

* Revert "fix."

This reverts commit 2d025e9e1a5c05c3da9b803a035a788ced59bd77.

* Revert "id mapping."

This reverts commit 2a6a93ceb81fbdff86e6e9e5a58e1ace1e9d9882.

* Revert "fix message passing."

This reverts commit ed8a86bf2b015e5e4f64ba160e81b207ad2a1d65.

* Revert "explain data split."

This reverts commit 4338ddf8a336014cf92d4cb9a1db02b9badc0e55.

* Revert "update distributed training doc."

This reverts commit dda1c35c44536934c19715534f01f832afda6ad2.

* add more tests.

* fix.

* fix.

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

* [example] deepergcn

* update

* update

* update

* update

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

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

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

* Fix #2856

* upd

* Fix unitest

* upd

* upd

* upd

* Fix
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* Ready for PR

* refractor code
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Co-authored-by: Tianjun Xiao <xiaotj1990327@gmail.com>

* fix

* fix

* debug

* fix

* fix

* fix

* fix

* ci

* fix

* fix

* Add DCRNN Example

* Bugfix DCRNN

* Bugfix DCRNN

* Bugfix Train/eval have different flow

* Performance Matched

* modified tgn for research

* kind of fixed 2hop issue

* remove data

* bugfix and improve the performance

* Refractor Code
Co-authored-by: Ubuntu <ubuntu@ip-172-31-45-47.ap-northeast-1.compute.internal>
Co-authored-by: Tianjun Xiao <xiaotj1990327@gmail.com>

* return mapping.

* support heterogeneous graph.

* more test.

* fix lint.

* fix for diff backends.

* fix.

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

* update

* update

* update

* update

* update

* update

* update

* fix

* fix

* update

* doc

* doc

* fix

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

Change the format of  README.md

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

* Update README.md

Add description of RECT

* [Example] Add implementation of RECT

[Example] Add implementation of RECT

* Update classify.py

Modify the class names and the function names mentioned above

* Update main.py

Modify the function names mentioned above

* Update label_utils.py

Adjust the comments

* Update README.md

Add the github information
Co-authored-by: Tianjun Xiao <xiaotj1990327@gmail.com>

* Add row/col sorted flags

* improve sorting paths

* Remove print statement

* Keep track of sorted matrices

* Remove sort check in to_block

* Improve CPU sorted COO->CSR

* Handle the zero edge case

* Remove omp default clause to work with MSVC

* Update comments on sorted COO->CSR cpu implementatoin

* Expose sorted to python interface

* Make check_sorted default to false for dgl.graph()

* remove check sorted; add utests

* remove check_sorted flag
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com>

* add

* fix

* f

* 111

* print

* fix

* ci

* f

* fix regex

* fix

* t

* fix

* add

* test

* fix

* fix

* fff

* fix

* 1113

* v2

* 222

* ttt2

* f2

* ff

* 11

* 121

* try

* add

* 222

* asd

* t2

* fix

* install dependency

* ff

* 图

* fix

* fix

* fix

* fix

* escape

* fix

* add url

* fix branches

* add url

* fix

* fix

* fix

* to csv

* update link

* fix

* fix

* fix

* Start on uniform GPU sampling

* Save more work

* Get cu file compiling

* Update sampling

* More changes

* Get GPU sampling for uniform probabilities solved

* Fix batch tensor migration

* Fix

* update kernels

* expand blocking

* Undo testing change

* Cut down on sampling overhead

* Fix replacement

* Update unit tests

* Add option to gpu sample in graphsage

* Copy only csc to gpu

* Add ogbn support

* Fix linting

* Remove nvtx from sample

* Improve documentation and error checking

* Expand documentation

* Update assert checking

* delete extra space

* Use standard dataloader when dataset is a dictionary

* ogb -> ogbn

* Fix edge selection determinism

* Fix typos

* Remove nvtx

* Add comment for self.fanout_arrays and assert

* Fix linting

* Migrate to scalarbatcher

* Fix indentation

* Fix batcher

* Fix indexing

* Only use databatcher for GPU

* Convert to DGL NDArray to PyTorch Tensor

* Add optimization for PyTorch's F.tensor() for list of GPU tensors
Co-authored-by: Da Zheng <zhengda1936@gmail.com>

* multi gpus training for mag240m

* remove unused function

* small changes

* more fix

* use multi gpus to eval and more fix
Co-authored-by: Quan Gan <coin2028@hotmail.com>

* fix.

* test distributed graph without node/edge data.

* remove some tests.

* fix lint

* Add hgat example

* Add experiment

* Clean code

* clear the code

* Add index in README

* Add index in README

* Add index in README

* Add index in README

* Add index in README

* Add index in README

* Change the code title and folder name

* Ready to merge

* Prepare for rebase and change message passing function

* use git ignore to handle empty file

* change file permission to resolve empty file

* Change permission

* change file mode

* Finish Coding

* working code cpu

* pyg compare

* Accelerate with batching

* FastMode Enabled

* update readme

* Update README.md

* refractor code

* add graphsim code

* modified code

* few fix

* Modified graphsim

* Simple Model Added

* Clean up code

* Refractor the code for Merge

* Bugfix enable gradient when train

* update readme and format
Co-authored-by: Chen <chesirui@3c22fbe5458c.ant.amazon.com>
Co-authored-by: Tianjun Xiao <xiaotj1990327@gmail.com>
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Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com>

int has no attribute of item
Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com>

* add submodule nanoflann

* finish python API for knn

* finish ndarray adaptor

* finish cpu-kdtree version of knn

* use openmp

* add endline

* upt

* upt

* fix format and code style

* upt

* add warning for gpu-cpu copy

* avoid contiguous copy
Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com>
Co-authored-by: Tong He <hetong007@gmail.com>

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