- 22 Nov, 2022 1 commit
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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:
Muhammed Fatih BALIN <m.f.balin@gmail.com> Co-authored-by:
Kaan Sancak <kaansnck@gmail.com> Co-authored-by:
Quan Gan <coin2028@hotmail.com>
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- 07 Nov, 2022 1 commit
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Hongzhi (Steve), Chen authored
* replace * blabla * balbla * blabla Co-authored-by:Steve <ubuntu@ip-172-31-34-29.ap-northeast-1.compute.internal>
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- 06 Nov, 2022 1 commit
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Hongzhi (Steve), Chen authored
* param * brief * note * return * tparam * brief2 * file * return2 * return * blabla * all Co-authored-by:Steve <ubuntu@ip-172-31-34-29.ap-northeast-1.compute.internal>
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- 04 Nov, 2022 1 commit
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Hongzhi (Steve), Chen authored
* [Misc] clang-format auto fix. * manual * manual Co-authored-by:Steve <ubuntu@ip-172-31-34-29.ap-northeast-1.compute.internal>
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- 21 Sep, 2022 1 commit
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Xin Yao authored
* disable warning for tensorpipe * fix warning * enable lint check for cuh files * resolve comments
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- 19 Sep, 2022 1 commit
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Xin Yao authored
* rename `DLContext` to `DGLContext` * rename `kDLGPU` to `kDLCUDA` * replace DLTensor with DGLArray * fix linting * Unify DGLType and DLDataType to DGLDataType * Fix FFI * rename DLDeviceType to DGLDeviceType * decouple dlpack from the core library * fix bug * fix lint * fix merge * fix build * address comments * rename dl_converter to dlpack_convert * remove redundant comments
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- 06 Jun, 2022 1 commit
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Xin Yao authored
Co-authored-by:
nv-dlasalle <63612878+nv-dlasalle@users.noreply.github.com> Co-authored-by:
Israt Nisa <neesha295@gmail.com>
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- 16 May, 2022 1 commit
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Xin Yao authored
* remove unnecessary induced vertices in EdgeSubgraph * add unit test
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- 21 Oct, 2021 1 commit
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Xin Yao authored
* gpu compact graph template * cuda compact graph draft * fix typo * compact graphs * pass unit test but fail in training * example using EdgeDataLoader on the GPU * refactor cuda_compact_graph and cuda_to_block * update training scripts * fix linting * fix linting * fix exclude_edges for the GPU * add --data-cpu & fix copyright
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