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  1. 07 Dec, 2022 1 commit
  3. 06 Dec, 2022 2 commits
  5. 05 Dec, 2022 5 commits
  7. 02 Dec, 2022 1 commit
  9. 01 Dec, 2022 5 commits
  11. 30 Nov, 2022 1 commit
  13. 29 Nov, 2022 2 commits
  15. 28 Nov, 2022 5 commits
  17. 27 Nov, 2022 1 commit
  19. 25 Nov, 2022 4 commits
  21. 24 Nov, 2022 1 commit
  23. 23 Nov, 2022 2 commits
  25. 22 Nov, 2022 3 commits
    • Mufei Li's avatar
      [Sparse] SGC example (#4918) · 61fa6401
      Mufei Li authored 
      

* Update

* Update

* Update

* Update
Co-authored-by: default avatarUbuntu <ubuntu@ip-172-31-36-188.ap-northeast-1.compute.internal>
      61fa6401
    • Ping Gong's avatar
      [Performance] Leverage hashmap to accelerate CSRSliceMatrix<kDGLCUDA, IdType> (#4924) · aa419895
      Ping Gong authored 
      

* Leverage hashmap to accelerate CSRSliceMatrix

* fix lint check

* use `min` in cuda_runtime.ch

* fix hash func

* add some comments and adjust the <grid,block> of the _SegmentMaskColKernel kernel

* set device and stream for thrust::for_each

* use thrust::cuda::par_nosync
Co-authored-by: default avatarXin Yao <xiny@nvidia.com>
      aa419895
    • Muhammed Fatih BALIN's avatar
      [Feature] (La)yer-Neigh(bor) sampling implementation (#4668) · bf264d00
      Muhammed Fatih BALIN authored 
      

* adding LABOR sampling

* add ladies and pladies samplers

* fix compile error after rebase

* add reference for ladies sampler

* Improve ladies implementation.

* weighted labor sampling initial implementation draft
fix indentation and small bug in ladies script

* importance_sampling currently doesn't work with weights

* fix weighted importance sampling

* move labor example into its own folder

* lint fixes

* Improve documentation

* remove examples from the main PR

* fix linting by not using c++17 features

* fix documentation of labor_sampler.py

* update documentation for labor.py

* reformat the labor.py file with black

* fix linting errors

* replace exception use with if

* fix typo in error comment

* fixing win64 build for ci

* fixing weighted implementation, works now.

* fix bug in the weighted case and importance_sampling==0

* address part of the reviews

* remove unused code paths from cuda

* remove unused code path from cpu side

* remove extra features of labor making use of random seed.

* fix exclude_edges bug

* remove pcg and seed logic from cpu implementation, seed logic should still work for cuda.

* minor style change

* refactor CPU implementation, take out the importance_sampling probability computation into a function.

* improve CUDAWorkspaceAllocator

* refactor importance_sampling part out to a function

* minor optimization

* fix linting issue

* Revert "remove pcg and seed logic from cpu implementation, seed logic should still work for cuda."

This reverts commit c250e07ac6d7e13f57e79e8a2c2f098d777378c2.

* Revert "remove extra features of labor making use of random seed."

This reverts commit 7f99034353080308f4783f27d9a08bea343fb796.

* fix the documentation

* disable NIDs

* improve the documentation in the code

* use the stream argument in pcg32 instead of skipping ahead t times, can discard the use of hashmap now since it is faster this way.

* fix linting issue

* address another round of reviews

* further optimize CPU LABOR sampling implementation

* fix linting error

* update the comment

* reformat

* rename and rephrase comment

* fix formatting according to new linting specs

* fix compile error due to renaming, fix linting.

* lint

* rename DGLHeteroGraph to DGLGraph to match master

* replace other occurrences of DGLHeteroGraph to DGLGraph
Co-authored-by: default avatarMuhammed Fatih BALIN <m.f.balin@gmail.com>
Co-authored-by: default avatarKaan Sancak <kaansnck@gmail.com>
Co-authored-by: default avatarQuan Gan <coin2028@hotmail.com>
      bf264d00
  27. 21 Nov, 2022 4 commits
  29. 20 Nov, 2022 1 commit
  31. 19 Nov, 2022 1 commit
  33. 18 Nov, 2022 1 commit
    • kylasa's avatar
      [Dist] Flexible pipeline - Initial commit (#4733) · c8ea9fa4
      kylasa authored 
      * Flexible pipeline - Initial commit

1. Implementation of flexible pipeline feature.
2. With this implementation, the pipeline now supports multiple partitions per process. And also assumes that num_partitions is always a multiple of num_processes.

* Update test_dist_part.py

* Code changes to address review comments

* Code refactoring of exchange_features function into two functions for better readability

* Upadting test_dist_part to fix merge issues with the master branch

* corrected variable names...

* Fixed code refactoring issues.

* Provide missing function arguments to exchange_feature function

* Providing the missing function argument to fix error.

* Provide missing function argument to 'get_shuffle_nids' function.

* Repositioned a variable within its scope.

* Removed tab space which is causing the indentation problem

* Fix issue with the CI test framework, which is the root cause for the failure of the CI tests.

1. Now we read files specific to the partition-id and store this data separately, identified by the local_part_id, in the local process.
2. Similarly as above, we also differentiate the node and edge features type_ids with the same keys as above.
3. These above two changes will help up to get the appropriate feature data during the feature exchange and send to the destination process correctly.

* Correct the parametrization for the CI unit test cases.

* Addressing Rui's code review comments.

* Addressing code review comments.
      c8ea9fa4