v23.10.00

🚨 Breaking Changes

• Rename cugraph-nx to nx-cugraph (#3840) @eriknw
• Remove legacy betweenness centrality (#3829) @jnke2016
• Remove Deprecated Sampling Options (#3816) @alexbarghi-nv
• cuGraph-PyG Loader Improvements (#3795) @alexbarghi-nv
• Expose threshold in louvain (#3792) @ChuckHastings
• Fix ValueError Caused By Batches With No Samples (#3789) @alexbarghi-nv
• Update to Cython 3.0.0 (#3716) @vyasr

🐛 Bug Fixes

• Add wget to test_notebook dependencies (#3918) @raydouglass
• Increase dask-related timeouts for CI testing (#3907) @jnke2016
• Remove dask_cudf dataframe for the _make_plc_graph while creating cugraph.Graph (#3895) @VibhuJawa
• Adds logic to handle isolated vertices at python layer (#3886) @naimnv
• Update Allocator Selection in cuGraph-DGL Example (#3877) @alexbarghi-nv
• Add file to update-version.sh (#3870) @raydouglass
• Fix torch seed in cugraph-dgl and -pyg tests for conv layers (#3869) @tingyu66
• MFG C++ code bug fix (#3865) @seunghwak
• Fix subtle memory leak in nbr_intersection primitive (#3858) @ChuckHastings
• Uses conda mambabuild rather than mamba mambabuild (#3853) @rlratzel
• Remove the assumption made on the client data's keys (#3835) @jnke2016
• Disable mg tests (#3833) @naimnv
• Refactor python code for similarity algos to use latest CAPI (#3828) @naimnv
• [BUG] Fix Batch Renumbering of Empty Batches (#3823) @alexbarghi-nv
• Temporarily disable the deletion of the dask dataframe (#3814) @jnke2016
• Fix OD shortest distance matrix computation test failures. (#3813) @seunghwak
• Use rapidsai/ci:cuda11.8.0-ubuntu22.04-py3.10 for docs build (#3811) @naimnv
• Fix ValueError Caused By Batches With No Samples (#3789) @alexbarghi-nv
• Update python_run_cugraph in dependencies.yaml (#3781) @nv-rliu
• Fixes KeyError for get_two_hop_neighbors when called with a small start vertices list (#3778) @rlratzel

📖 Documentation

• Update the docstrings of the similarity algorithms (#3817) @jnke2016

🚀 New Features

• WholeGraph Feature Store for cuGraph-PyG and cuGraph-DGL (#3874) @alexbarghi-nv
• similarity notebook to compare link prediction algos (#3868) @acostadon
• adding dining preference dataset (#3866) @acostadon
• Integrate C++ Renumbering and Compression (#3841) @alexbarghi-nv
• Sampling post processing functions to accelerate MFG creation. (#3815) @seunghwak
• [REVIEW] Add Pure DGL Dataloading benchmark (#3660) @VibhuJawa

🛠️ Improvements

• nx-cugraph: handle louvain with isolated nodes (#3897) @eriknw
• Pin dask and distributed for 23.10 release (#3896) @galipremsagar
• Updates the source build docs to include libcugraphops as a build prerequisite (#3893) @rlratzel
• fixes force atlas to allow string as vertex names (#3891) @acostadon
• Integrate renumbering and compression to cugraph-dgl to accelerate MFG creation (#3887) @tingyu66
• Enable weights for MG similarity algorithms (#3879) @jnke2016
• cuGraph-PyG MFG Creation and Conversion (#3873) @alexbarghi-nv
• Update image names (#3867) @AyodeAwe
• Update to clang 16.0.6. (#3859) @bdice
• Updates to build and test nx-cugraph wheel as part of CI and nightly workflows (#3852) @rlratzel
• Update cugraph-dgl conv layers to use improved graph class (#3849) @tingyu66
• Add entry point to tell NetworkX about nx-cugraph without importing it. (#3848) @eriknw
• [IMP] Add ability to get batch size from the loader in cuGraph-PyG (#3846) @alexbarghi-nv
• Refactor legacy k truss (#3843) @jnke2016
• Use new raft::compiled_static targets (#3842) @divyegala
• Rename cugraph-nx to nx-cugraph (#3840) @eriknw
• Add cuGraph devcontainers (#3838) @trxcllnt
• Enable temporarily disabled MG tests (#3837) @naimnv
• Remove legacy betweenness centrality (#3829) @jnke2016
• Use copy-pr-bot (#3827) @ajschmidt8
• Update README.md (#3826) @lmeyerov
• Adding metadata getter methods to datasets API (#3821) @nv-rliu
• Unpin dask and distributed for 23.10 development (#3818) @galipremsagar
• Remove Deprecated Sampling Options (#3816) @alexbarghi-nv
• [REVIEW] Cugraph dgl block improvements (#3810) @VibhuJawa
• Simplify wheel build scripts and allow alphas of RAPIDS dependencies (#3809) @vyasr
• Allow cugraph-nx to run networkx tests for nx versions 3.0, 3.1, and 3.2 (#3808) @eriknw
• Add louvain_communities to cugraph-nx (#3803) @eriknw
• Adds missing copyright and license text to init.py package files (#3799) @rlratzel
• cuGraph-PyG Loader Improvements (#3795) @alexbarghi-nv
• Adds updates to build wheel and conda packages for cugraph-nx (#3793) @rlratzel
• Expose threshold in louvain (#3792) @ChuckHastings
• Allow models to use a lightweight sparse structure (#3782) @tingyu66
• Clean-up old testing conventions in test_ecg.py (#3779) @nv-rliu
• Calling dataset.get_edgelist() returns a copy of an edge list instead of global (#3777) @nv-rliu
• Update dgl benchmarks (#3775) @VibhuJawa
• Forward-merge branch-23.08 to branch-23.10 (#3774) @nv-rliu
• Migrate upstream models to cugraph-pyg (#3763) @tingyu66
• Branch 23.10 merge 23.08 (#3743) @vyasr
• Update to Cython 3.0.0 (#3716) @vyasr
• Testing util improvements and refactoring (#3705) @betochimas
• Add new cugraph-nx package (networkx backend using pylibcugraph) (#3614) @eriknw
• New mtmg API for integration (#3521) @ChuckHastings

v23.08.00

🚨 Breaking Changes

• Change the renumber_sampled_edgelist function behavior. (#3762) @seunghwak
• PLC and Python Support for Sample-Side MFG Creation (#3734) @alexbarghi-nv
• Stop using setup.py in build.sh (#3704) @vyasr
• Refactor edge betweenness centrality (#3672) @jnke2016
• [FIX] Fix the hang in cuGraph Python Uniform Neighbor Sample, Add Logging to Bulk Sampler (#3669) @alexbarghi-nv

🐛 Bug Fixes

• Change the renumber_sampled_edgelist function behavior. (#3762) @seunghwak
• Fix bug discovered in Jaccard testing (#3758) @ChuckHastings
• fix inconsistent graph properties between the SG and the MG API (#3757) @jnke2016
• Fixes options for --pydevelop to remove unneeded CWD path ("."), restores use of setup.py temporarily for develop builds (#3747) @rlratzel
• Fix sampling call parameters if compiled with -DNO_CUGRAPH_OPS (#3729) @ChuckHastings
• Fix primitive bug discovered in MG edge betweenness centrality testing (#3723) @ChuckHastings
• Reorder dependencies.yaml channels (#3721) @raydouglass
• [BUG] Fix namesapce to default_hash and hash_functions (#3711) @naimnv
• [BUG] Fix Bulk Sampling Test Issue (#3701) @alexbarghi-nv
• Make pylibcugraphops optional imports in cugraph-dgl and -pyg (#3693) @tingyu66
• [FIX] Rename cugraph-ops symbols (refactoring) and update GHA workflows to call pytest via python -m pytest (#3688) @naimnv
• [FIX] Fix the hang in cuGraph Python Uniform Neighbor Sample, Add Logging to Bulk Sampler (#3669) @alexbarghi-nv
• force atlas notebook changes to run in cugraph 23.08 container. (#3656) @acostadon

📖 Documentation

• this fixes github links in cugraph, cugraph-dgl and cugraph-pyg (#3650) @acostadon
• Fix minor typo in README.md (#3636) @akasper
• Created landing spot for centrality and similarity algorithms (#3620) @acostadon

🚀 New Features

• Compute shortest distances between given sets of origins and destinations for large diameter graphs (#3741) @seunghwak
• Update primitive to compute weighted Jaccard, Sorensen and Overlap similarity (#3728) @naimnv
• Add CUDA 12.0 conda environment. (#3725) @bdice
• Renumber utility function for sampling output (#3707) @seunghwak
• Integrate C++ Sampling Source Behavior Updates (#3699) @alexbarghi-nv
• Adds fail_on_nonconvergence option to pagerank to provide pagerank results even on non-convergence (#3639) @rlratzel
• Add Benchmark for Bulk Sampling (#3628) @alexbarghi-nv
• cugraph: Build CUDA 12 packages (#3456) @vyasr

🛠️ Improvements

• Pin dask and distributed for 23.08 release (#3761) @galipremsagar
• Fix build.yaml workflow (#3756) @ajschmidt8
• Support MFG creation on sampling gpus for cugraph dgl (#3742) @VibhuJawa
• PLC and Python Support for Sample-Side MFG Creation (#3734) @alexbarghi-nv
• Switch to new wheel building pipeline (#3731) @vyasr
• Remove RAFT specialization. (#3727) @bdice
• C API for renumbering the samples (#3724) @ChuckHastings
• Only run cugraph conda CI for CUDA 11. (#3713) @bdice
• Promote Datasets to stable and clean-up unit tests (#3712) @nv-rliu
• [BUG] Unsupported graph for similiarity algos (#3710) @jnke2016
• Stop using setup.py in build.sh (#3704) @vyasr
• [WIP] Make edge ids optional (#3702) @VibhuJawa
• Use rapids-cmake testing to run tests in parallel (#3697) @robertmaynard
• Sampling modifications to support PyG and DGL options (#3696) @ChuckHastings
• Include cuCollection public header for hash functions (#3694) @seunghwak
• Refactor edge betweenness centrality (#3672) @jnke2016
• Refactor RMAT (#3662) @jnke2016
• [REVIEW] Optimize bulk sampling (#3661) @VibhuJawa
• Update to CMake 3.26.4 (#3648) @vyasr
• Optimize cugraph-dgl MFG creation (#3646) @VibhuJawa
• use rapids-upload-docs script (#3640) @AyodeAwe
• Fix dependency versions for 23.08 (#3638) @ajschmidt8
• Unpin dask and distributed for development (#3634) @galipremsagar
• Remove documentation build scripts for Jenkins (#3627) @ajschmidt8
• Unpin scikit-build upper bound (#3609) @vyasr
• Implement C++ Edge Betweenness Centrality (#3602) @ChuckHastings

v23.06.02

🚨 Breaking Changes

• [BUG] Fix Incorrect File Selection in cuGraph-PyG Loader (#3599) @alexbarghi-nv
• Remove legacy leiden (#3581) @ChuckHastings
• [IMP] Match Default PyG Hop ID Behavior in cuGraph-PyG (#3565) @alexbarghi-nv
• [IMP] Sample with Offsets in the Bulk Sampler (#3524) @alexbarghi-nv
• Dropping Python 3.8 (#3505) @divyegala
• Remove legacy renumber and shuffle calls from cython.cu (#3467) @ChuckHastings
• Remove legacy implementation of induce subgraph (#3464) @ChuckHastings

🐛 Bug Fixes

• Fix broadcast root during the replication call (#3655) @jnke2016
• [HOTFIX] Fix random walks error identified in CUDA-12 testing (#3647) @ChuckHastings
• Fix MG Test Failing due to Removal of np.float (#3621) @alexbarghi-nv
• fix logic for shuffling results (#3619) @ChuckHastings
• [BUG] Fix Calls to cudf.DataFrame/Series.unique that relied on old behavior (#3616) @alexbarghi-nv
• correct dgl version in cugraph-dgl conda recipe (#3612) @tingyu66
• [BUG] Fix Issue in cuGraph-PyG Tests Blocking CI (#3607) @alexbarghi-nv
• [BUG] Critical: Fix cuGraph-PyG Edge Index Renumbering for Single-Edge Graphs (#3605) @alexbarghi-nv
• [BUG] Skip Empty Partitions in Bulk Sample Writing (#3600) @alexbarghi-nv
• [BUG] Fix Incorrect File Selection in cuGraph-PyG Loader (#3599) @alexbarghi-nv
• Fix SSSP bug (#3597) @jnke2016
• update cudf column constructor calls (#3592) @ChuckHastings
• Fix one more path to cugraphops in build workflow (#3554) @vyasr
• Fix path to cugraphops in build workflow (#3547) @vyasr
• Update dgl APIs for v1.1.0 (#3546) @tingyu66
• Pin to scikit-build<17.2 (#3538) @vyasr
• Correct results from sampling when grouping batches on specific GPUs (#3517) @ChuckHastings
• [FIX] Match the PyG API for Node Input to the Loader (#3514) @alexbarghi-nv
• Correct MG Leiden and SCC tests (#3509) @ChuckHastings
• per_v_transform_reduce_incoming|outgoing_e bug fix (when we're using (key, value) pairs to store edge src|dst property values) (#3508) @seunghwak
• Updates to allow python benchmarks to run on additional datasets by default (#3506) @rlratzel
• [BUG] Fix Intermittent Error when Converting cuDF DataFrame to Tensor by Converting to cuPy Array First (#3498) @alexbarghi-nv
• [FIX] Update cugraph-PyG Dependencies to include cuGraph (#3497) @alexbarghi-nv
• Fix graph_properties_t's members order (#3484) @naimnv
• Fix issue with latest rapids-make (#3481) @ChuckHastings
• Branch 23.06 Fix Forward Merge (#3462) @alexbarghi-nv
• Update raft dependency to 23.06 (#3410) @ChuckHastings

📖 Documentation

• updated cugraph Demo notebooks for 23.06 (#3558) @acostadon
• cugraph-ops license (#3553) @BradReesWork
• Notebook clean-up and run verification (#3551) @acostadon
• Updates contributing steps to add copyright and license text inclusion instruction (#3519) @rlratzel
• Fixed notebook links in algorithm and cugraph notebook pages (#3515) @acostadon
• adding cugraph-ops (#3488) @BradReesWork
• Sphinx updates (#3468) @BradReesWork

🚀 New Features

• [REVIEW] Add MNMG with training (#3603) @VibhuJawa
• MG Leiden and MG MIS (#3582) @naimnv
• graph primitive transform_e (#3548) @seunghwak
• Support CUDA 12.0 for pip wheels (#3544) @divyegala
• Updates pytest benchmarks to use synthetic data and multi-GPUs (#3540) @rlratzel
• Enable edge masking (#3522) @seunghwak
• [REVIEW] Profile graph creation runtime and memory footprint (#3518) @VibhuJawa
• Bipartite R-mat graph generation. (#3512) @seunghwak
• Dropping Python 3.8 (#3505) @divyegala
• Creates Notebook that runs Multi-GPU versions of Jaccard, Sorenson and overlap. (#3504) @acostadon
• [cugraph-dgl] Add support for bipartite node features and optional edge features in GATConv (#3503) @tingyu66
• [cugraph-dgl] Add TransformerConv (#3501) @tingyu66
• [cugraph-pyg] Add TransformerConv and support for bipartite node features in GATConv (#3489) @tingyu66
• Branch 23.06 resolve merge conflict for forward merge (#3409) @alexbarghi-nv
• Refactor Leiden (#3327) @jnke2016

🛠️ Improvements

• Disables memory usage assertions (#3641) @rlratzel
• Refresh requirements (#3622) @jakirkham
• Pr3266 continue (optional arg for weight attribute for Nx graphs in sssp) (#3611) @eriknw
• Enables MG python tests using a single-GPU LocalCUDACluster in CI (#3596) @rlratzel
• UVM notebook update and add tracker for notebooks to readme (#3595) @acostadon
• [REVIEW] Skip adding edge types, edge weights (#3583) @VibhuJawa
• Remove legacy leiden (#3581) @ChuckHastings
• run docs nightly too (#3568) @AyodeAwe
• include hop as part of the sort criteria for sampling results (#3567) @ChuckHastings
• Add MG python implementation of Leiden (#3566) @jnke2016
• [IMP] Match Default PyG Hop ID Behavior in cuGraph-PyG (#3565) @alexbarghi-nv
• Switch back to using primary shared-action-workflows branch (#3562) @vyasr
• removed deprecated calls and modified demo notebooks to run with 23.06 (#3561) @acostadon
• add unit test for checking is_symmetric is valid, update documentatio… (#3559) @ChuckHastings
• Update recipes to GTest version >=1.13.0 (#3549) @bdice
• Improve memory footprint and performance of graph creation (#3542) @VibhuJawa
• Update cupy dependency (#3539) @vyasr
• Perform expensive edge list check in create_graph_from_edgelist() (#3533) @seunghwak
• Enable sccache hits from local builds (#3526) @AyodeAwe
• Build wheels using new single image workflow (#3525) @vyasr
• [IMP] Sample with Offsets in the Bulk Sampler (#3524) @alexbarghi-nv
• Revert shared-action-workflows pin (#3523) @divyegala
• [FIX] fix cugraphops namespace (#3520) @stadlmax
• Add support in C API for handling unweighted graphs in algorithms that expect weights (#3513) @ChuckHastings
• Changes to support gtest version 1.11 (#3511) @ChuckHastings
• update docs (#3510) @BradReesWork
• Remove usage of rapids-get-rapids-version-from-git (#3502) @jjacobelli
• Remove Dummy Edge Weights, Support Specifying Edge Ids/Edge Types/Weights Separately (#3495) @alexbarghi-nv
• [ENH] Add missing include of thrust/optional.h (#3493) @ahendriksen
• Remove wheel pytest verbosity (#3492) @sevagh
• Update clang-format to 16.0.1. (#3485) @bdice
• Use ARC V2 self-hosted runners for GPU jobs (#3483) @jjacobelli
• packed bool specialization to store edge endpoint|edge properties (#3482) @seunghwak
• Remove legacy renumber and shuffle calls from cython.cu (#3467) @ChuckHastings
• Remove legacy implementation of induce subgraph (#3464) @ChuckHastings
• Remove uses-setup-env-vars (#3463) @vyasr
• Optimize random walks (#3460) @jnke2016
• Update select_random_vertices to sample from a given distributed set or from (0, V] (#3455) @naimnv

v23.06.01

🚨 Breaking Changes

• [BUG] Fix Incorrect File Selection in cuGraph-PyG Loader (#3599) @alexbarghi-nv
• Remove legacy leiden (#3581) @ChuckHastings
• [IMP] Match Default PyG Hop ID Behavior in cuGraph-PyG (#3565) @alexbarghi-nv
• [IMP] Sample with Offsets in the Bulk Sampler (#3524) @alexbarghi-nv
• Dropping Python 3.8 (#3505) @divyegala
• Remove legacy renumber and shuffle calls from cython.cu (#3467) @ChuckHastings
• Remove legacy implementation of induce subgraph (#3464) @ChuckHastings

🐛 Bug Fixes

• [HOTFIX] Fix random walks error identified in CUDA-12 testing (#3647) @ChuckHastings
• Fix MG Test Failing due to Removal of np.float (#3621) @alexbarghi-nv
• fix logic for shuffling results (#3619) @ChuckHastings
• [BUG] Fix Calls to cudf.DataFrame/Series.unique that relied on old behavior (#3616) @alexbarghi-nv
• correct dgl version in cugraph-dgl conda recipe (#3612) @tingyu66
• [BUG] Fix Issue in cuGraph-PyG Tests Blocking CI (#3607) @alexbarghi-nv
• [BUG] Critical: Fix cuGraph-PyG Edge Index Renumbering for Single-Edge Graphs (#3605) @alexbarghi-nv
• [BUG] Skip Empty Partitions in Bulk Sample Writing (#3600) @alexbarghi-nv
• [BUG] Fix Incorrect File Selection in cuGraph-PyG Loader (#3599) @alexbarghi-nv
• Fix SSSP bug (#3597) @jnke2016
• update cudf column constructor calls (#3592) @ChuckHastings
• Fix one more path to cugraphops in build workflow (#3554) @vyasr
• Fix path to cugraphops in build workflow (#3547) @vyasr
• Update dgl APIs for v1.1.0 (#3546) @tingyu66
• Pin to scikit-build<17.2 (#3538) @vyasr
• Correct results from sampling when grouping batches on specific GPUs (#3517) @ChuckHastings
• [FIX] Match the PyG API for Node Input to the Loader (#3514) @alexbarghi-nv
• Correct MG Leiden and SCC tests (#3509) @ChuckHastings
• per_v_transform_reduce_incoming|outgoing_e bug fix (when we're using (key, value) pairs to store edge src|dst property values) (#3508) @seunghwak
• Updates to allow python benchmarks to run on additional datasets by default (#3506) @rlratzel
• [BUG] Fix Intermittent Error when Converting cuDF DataFrame to Tensor by Converting to cuPy Array First (#3498) @alexbarghi-nv
• [FIX] Update cugraph-PyG Dependencies to include cuGraph (#3497) @alexbarghi-nv
• Fix graph_properties_t's members order (#3484) @naimnv
• Fix issue with latest rapids-make (#3481) @ChuckHastings
• Branch 23.06 Fix Forward Merge (#3462) @alexbarghi-nv
• Update raft dependency to 23.06 (#3410) @ChuckHastings

📖 Documentation

• updated cugraph Demo notebooks for 23.06 (#3558) @acostadon
• cugraph-ops license (#3553) @BradReesWork
• Notebook clean-up and run verification (#3551) @acostadon
• Updates contributing steps to add copyright and license text inclusion instruction (#3519) @rlratzel
• Fixed notebook links in algorithm and cugraph notebook pages (#3515) @acostadon
• adding cugraph-ops (#3488) @BradReesWork
• Sphinx updates (#3468) @BradReesWork

🚀 New Features

• [REVIEW] Add MNMG with training (#3603) @VibhuJawa
• MG Leiden and MG MIS (#3582) @naimnv
• graph primitive transform_e (#3548) @seunghwak
• Support CUDA 12.0 for pip wheels (#3544) @divyegala
• Updates pytest benchmarks to use synthetic data and multi-GPUs (#3540) @rlratzel
• Enable edge masking (#3522) @seunghwak
• [REVIEW] Profile graph creation runtime and memory footprint (#3518) @VibhuJawa
• Bipartite R-mat graph generation. (#3512) @seunghwak
• Dropping Python 3.8 (#3505) @divyegala
• Creates Notebook that runs Multi-GPU versions of Jaccard, Sorenson and overlap. (#3504) @acostadon
• [cugraph-dgl] Add support for bipartite node features and optional edge features in GATConv (#3503) @tingyu66
• [cugraph-dgl] Add TransformerConv (#3501) @tingyu66
• [cugraph-pyg] Add TransformerConv and support for bipartite node features in GATConv (#3489) @tingyu66
• Branch 23.06 resolve merge conflict for forward merge (#3409) @alexbarghi-nv
• Refactor Leiden (#3327) @jnke2016

🛠️ Improvements

• Disables memory usage assertions (#3641) @rlratzel
• Refresh requirements (#3622) @jakirkham
• Pr3266 continue (optional arg for weight attribute for Nx graphs in sssp) (#3611) @eriknw
• Enables MG python tests using a single-GPU LocalCUDACluster in CI (#3596) @rlratzel
• UVM notebook update and add tracker for notebooks to readme (#3595) @acostadon
• [REVIEW] Skip adding edge types, edge weights (#3583) @VibhuJawa
• Remove legacy leiden (#3581) @ChuckHastings
• run docs nightly too (#3568) @AyodeAwe
• include hop as part of the sort criteria for sampling results (#3567) @ChuckHastings
• Add MG python implementation of Leiden (#3566) @jnke2016
• [IMP] Match Default PyG Hop ID Behavior in cuGraph-PyG (#3565) @alexbarghi-nv
• Switch back to using primary shared-action-workflows branch (#3562) @vyasr
• removed deprecated calls and modified demo notebooks to run with 23.06 (#3561) @acostadon
• add unit test for checking is_symmetric is valid, update documentatio… (#3559) @ChuckHastings
• Update recipes to GTest version >=1.13.0 (#3549) @bdice
• Improve memory footprint and performance of graph creation (#3542) @VibhuJawa
• Update cupy dependency (#3539) @vyasr
• Perform expensive edge list check in create_graph_from_edgelist() (#3533) @seunghwak
• Enable sccache hits from local builds (#3526) @AyodeAwe
• Build wheels using new single image workflow (#3525) @vyasr
• [IMP] Sample with Offsets in the Bulk Sampler (#3524) @alexbarghi-nv
• Revert shared-action-workflows pin (#3523) @divyegala
• [FIX] fix cugraphops namespace (#3520) @stadlmax
• Add support in C API for handling unweighted graphs in algorithms that expect weights (#3513) @ChuckHastings
• Changes to support gtest version 1.11 (#3511) @ChuckHastings
• update docs (#3510) @BradReesWork
• Remove usage of rapids-get-rapids-version-from-git (#3502) @jjacobelli
• Remove Dummy Edge Weights, Support Specifying Edge Ids/Edge Types/Weights Separately (#3495) @alexbarghi-nv
• [ENH] Add missing include of thrust/optional.h (#3493) @ahendriksen
• Remove wheel pytest verbosity (#3492) @sevagh
• Update clang-format to 16.0.1. (#3485) @bdice
• Use ARC V2 self-hosted runners for GPU jobs (#3483) @jjacobelli
• packed bool specialization to store edge endpoint|edge properties (#3482) @seunghwak
• Remove legacy renumber and shuffle calls from cython.cu (#3467) @ChuckHastings
• Remove legacy implementation of induce subgraph (#3464) @ChuckHastings
• Remove uses-setup-env-vars (#3463) @vyasr
• Optimize random walks (#3460) @jnke2016
• Update select_random_vertices to sample from a given distributed set or from (0, V] (#3455) @naimnv

v23.06.00

🚨 Breaking Changes

• [BUG] Fix Incorrect File Selection in cuGraph-PyG Loader (#3599) @alexbarghi-nv
• Remove legacy leiden (#3581) @ChuckHastings
• [IMP] Match Default PyG Hop ID Behavior in cuGraph-PyG (#3565) @alexbarghi-nv
• [IMP] Sample with Offsets in the Bulk Sampler (#3524) @alexbarghi-nv
• Dropping Python 3.8 (#3505) @divyegala
• Remove legacy renumber and shuffle calls from cython.cu (#3467) @ChuckHastings
• Remove legacy implementation of induce subgraph (#3464) @ChuckHastings

🐛 Bug Fixes

• Fix MG Test Failing due to Removal of np.float (#3621) @alexbarghi-nv
• fix logic for shuffling results (#3619) @ChuckHastings
• [BUG] Fix Calls to cudf.DataFrame/Series.unique that relied on old behavior (#3616) @alexbarghi-nv
• correct dgl version in cugraph-dgl conda recipe (#3612) @tingyu66
• [BUG] Fix Issue in cuGraph-PyG Tests Blocking CI (#3607) @alexbarghi-nv
• [BUG] Critical: Fix cuGraph-PyG Edge Index Renumbering for Single-Edge Graphs (#3605) @alexbarghi-nv
• [BUG] Skip Empty Partitions in Bulk Sample Writing (#3600) @alexbarghi-nv
• [BUG] Fix Incorrect File Selection in cuGraph-PyG Loader (#3599) @alexbarghi-nv
• Fix SSSP bug (#3597) @jnke2016
• update cudf column constructor calls (#3592) @ChuckHastings
• Fix one more path to cugraphops in build workflow (#3554) @vyasr
• Fix path to cugraphops in build workflow (#3547) @vyasr
• Update dgl APIs for v1.1.0 (#3546) @tingyu66
• Pin to scikit-build<17.2 (#3538) @vyasr
• Correct results from sampling when grouping batches on specific GPUs (#3517) @ChuckHastings
• [FIX] Match the PyG API for Node Input to the Loader (#3514) @alexbarghi-nv
• Correct MG Leiden and SCC tests (#3509) @ChuckHastings
• per_v_transform_reduce_incoming|outgoing_e bug fix (when we're using (key, value) pairs to store edge src|dst property values) (#3508) @seunghwak
• Updates to allow python benchmarks to run on additional datasets by default (#3506) @rlratzel
• [BUG] Fix Intermittent Error when Converting cuDF DataFrame to Tensor by Converting to cuPy Array First (#3498) @alexbarghi-nv
• [FIX] Update cugraph-PyG Dependencies to include cuGraph (#3497) @alexbarghi-nv
• Fix graph_properties_t's members order (#3484) @naimnv
• Fix issue with latest rapids-make (#3481) @ChuckHastings
• Branch 23.06 Fix Forward Merge (#3462) @alexbarghi-nv
• Update raft dependency to 23.06 (#3410) @ChuckHastings

📖 Documentation

• updated cugraph Demo notebooks for 23.06 (#3558) @acostadon
• cugraph-ops license (#3553) @BradReesWork
• Notebook clean-up and run verification (#3551) @acostadon
• Updates contributing steps to add copyright and license text inclusion instruction (#3519) @rlratzel
• Fixed notebook links in algorithm and cugraph notebook pages (#3515) @acostadon
• adding cugraph-ops (#3488) @BradReesWork
• Sphinx updates (#3468) @BradReesWork

🚀 New Features

• [REVIEW] Add MNMG with training (#3603) @VibhuJawa
• MG Leiden and MG MIS (#3582) @naimnv
• graph primitive transform_e (#3548) @seunghwak
• Support CUDA 12.0 for pip wheels (#3544) @divyegala
• Updates pytest benchmarks to use synthetic data and multi-GPUs (#3540) @rlratzel
• Enable edge masking (#3522) @seunghwak
• [REVIEW] Profile graph creation runtime and memory footprint (#3518) @VibhuJawa
• Bipartite R-mat graph generation. (#3512) @seunghwak
• Dropping Python 3.8 (#3505) @divyegala
• Creates Notebook that runs Multi-GPU versions of Jaccard, Sorenson and overlap. (#3504) @acostadon
• [cugraph-dgl] Add support for bipartite node features and optional edge features in GATConv (#3503) @tingyu66
• [cugraph-dgl] Add TransformerConv (#3501) @tingyu66
• [cugraph-pyg] Add TransformerConv and support for bipartite node features in GATConv (#3489) @tingyu66
• Branch 23.06 resolve merge conflict for forward merge (#3409) @alexbarghi-nv
• Refactor Leiden (#3327) @jnke2016

🛠️ Improvements

• Disables memory usage assertions (#3641) @rlratzel
• Refresh requirements (#3622) @jakirkham
• Pr3266 continue (optional arg for weight attribute for Nx graphs in sssp) (#3611) @eriknw
• Enables MG python tests using a single-GPU LocalCUDACluster in CI (#3596) @rlratzel
• UVM notebook update and add tracker for notebooks to readme (#3595) @acostadon
• [REVIEW] Skip adding edge types, edge weights (#3583) @VibhuJawa
• Remove legacy leiden (#3581) @ChuckHastings
• run docs nightly too (#3568) @AyodeAwe
• include hop as part of the sort criteria for sampling results (#3567) @ChuckHastings
• Add MG python implementation of Leiden (#3566) @jnke2016
• [IMP] Match Default PyG Hop ID Behavior in cuGraph-PyG (#3565) @alexbarghi-nv
• Switch back to using primary shared-action-workflows branch (#3562) @vyasr
• removed deprecated calls and modified demo notebooks to run with 23.06 (#3561) @acostadon
• add unit test for checking is_symmetric is valid, update documentatio… (#3559) @ChuckHastings
• Update recipes to GTest version >=1.13.0 (#3549) @bdice
• Improve memory footprint and performance of graph creation (#3542) @VibhuJawa
• Update cupy dependency (#3539) @vyasr
• Perform expensive edge list check in create_graph_from_edgelist() (#3533) @seunghwak
• Enable sccache hits from local builds (#3526) @AyodeAwe
• Build wheels using new single image workflow (#3525) @vyasr
• [IMP] Sample with Offsets in the Bulk Sampler (#3524) @alexbarghi-nv
• Revert shared-action-workflows pin (#3523) @divyegala
• [FIX] fix cugraphops namespace (#3520) @stadlmax
• Add support in C API for handling unweighted graphs in algorithms that expect weights (#3513) @ChuckHastings
• Changes to support gtest version 1.11 (#3511) @ChuckHastings
• update docs (#3510) @BradReesWork
• Remove usage of rapids-get-rapids-version-from-git (#3502) @jjacobelli
• Remove Dummy Edge Weights, Support Specifying Edge Ids/Edge Types/Weights Separately (#3495) @alexbarghi-nv
• [ENH] Add missing include of thrust/optional.h (#3493) @ahendriksen
• Remove wheel pytest verbosity (#3492) @sevagh
• Update clang-format to 16.0.1. (#3485) @bdice
• Use ARC V2 self-hosted runners for GPU jobs (#3483) @jjacobelli
• packed bool specialization to store edge endpoint|edge properties (#3482) @seunghwak
• Remove legacy renumber and shuffle calls from cython.cu (#3467) @ChuckHastings
• Remove legacy implementation of induce subgraph (#3464) @ChuckHastings
• Remove uses-setup-env-vars (#3463) @vyasr
• Optimize random walks (#3460) @jnke2016
• Update select_random_vertices to sample from a given distributed set or from (0, V] (#3455) @naimnv

[NIGHTLY] v23.08.00

🔗 Links

• Development Branch
• Compare with main branch

🚨 Breaking Changes

• Change the renumber_sampled_edgelist function behavior. (#3762) @seunghwak
• PLC and Python Support for Sample-Side MFG Creation (#3734) @alexbarghi-nv
• Stop using setup.py in build.sh (#3704) @vyasr
• Refactor edge betweenness centrality (#3672) @jnke2016
• [FIX] Fix the hang in cuGraph Python Uniform Neighbor Sample, Add Logging to Bulk Sampler (#3669) @alexbarghi-nv

🐛 Bug Fixes

• Makes copy of input ddf to work around dropped column names (#3776) @jnke2016
• Change the renumber_sampled_edgelist function behavior. (#3762) @seunghwak
• Fix bug discovered in Jaccard testing (#3758) @ChuckHastings
• fix inconsistent graph properties between the SG and the MG API (#3757) @jnke2016
• Fixes options for --pydevelop to remove unneeded CWD path ("."), restores use of setup.py temporarily for develop builds (#3747) @rlratzel
• Fix sampling call parameters if compiled with -DNO_CUGRAPH_OPS (#3729) @ChuckHastings
• Fix primitive bug discovered in MG edge betweenness centrality testing (#3723) @ChuckHastings
• Reorder dependencies.yaml channels (#3721) @raydouglass
• [BUG] Fix namesapce to default_hash and hash_functions (#3711) @naimnv
• [BUG] Fix Bulk Sampling Test Issue (#3701) @alexbarghi-nv
• Make pylibcugraphops optional imports in cugraph-dgl and -pyg (#3693) @tingyu66
• [FIX] Rename cugraph-ops symbols (refactoring) and update GHA workflows to call pytest via python -m pytest (#3688) @naimnv
• [FIX] Fix the hang in cuGraph Python Uniform Neighbor Sample, Add Logging to Bulk Sampler (#3669) @alexbarghi-nv
• force atlas notebook changes to run in cugraph 23.08 container. (#3656) @acostadon

📖 Documentation

• this fixes github links in cugraph, cugraph-dgl and cugraph-pyg (#3650) @acostadon
• Fix minor typo in README.md (#3636) @akasper
• Created landing spot for centrality and similarity algorithms (#3620) @acostadon

🚀 New Features

• Compute shortest distances between given sets of origins and destinations for large diameter graphs (#3741) @seunghwak
• Update primitive to compute weighted Jaccard, Sorensen and Overlap similarity (#3728) @naimnv
• Add CUDA 12.0 conda environment. (#3725) @bdice
• Renumber utility function for sampling output (#3707) @seunghwak
• Integrate C++ Sampling Source Behavior Updates (#3699) @alexbarghi-nv
• Adds fail_on_nonconvergence option to pagerank to provide pagerank results even on non-convergence (#3639) @rlratzel
• Add Benchmark for Bulk Sampling (#3628) @alexbarghi-nv
• cugraph: Build CUDA 12 packages (#3456) @vyasr

🛠️ Improvements

• Pin dask and distributed for 23.08 release (#3761) @galipremsagar
• Fix build.yaml workflow (#3756) @ajschmidt8
• Support MFG creation on sampling gpus for cugraph dgl (#3742) @VibhuJawa
• PLC and Python Support for Sample-Side MFG Creation (#3734) @alexbarghi-nv
• Switch to new wheel building pipeline (#3731) @vyasr
• Remove RAFT specialization. (#3727) @bdice
• C API for renumbering the samples (#3724) @ChuckHastings
• Only run cugraph conda CI for CUDA 11. (#3713) @bdice
• Promote Datasets to stable and clean-up unit tests (#3712) @nv-rliu
• [BUG] Unsupported graph for similiarity algos (#3710) @jnke2016
• Stop using setup.py in build.sh (#3704) @vyasr
• [WIP] Make edge ids optional (#3702) @VibhuJawa
• Use rapids-cmake testing to run tests in parallel (#3697) @robertmaynard
• Sampling modifications to support PyG and DGL options (#3696) @ChuckHastings
• Include cuCollection public header for hash functions (#3694) @seunghwak
• Refactor edge betweenness centrality (#3672) @jnke2016
• Refactor RMAT (#3662) @jnke2016
• [REVIEW] Optimize bulk sampling (#3661) @VibhuJawa
• Update to CMake 3.26.4 (#3648) @vyasr
• Optimize cugraph-dgl MFG creation (#3646) @VibhuJawa
• use rapids-upload-docs script (#3640) @AyodeAwe
• Fix dependency versions for 23.08 (#3638) @ajschmidt8
• Unpin dask and distributed for development (#3634) @galipremsagar
• Remove documentation build scripts for Jenkins (#3627) @ajschmidt8
• Unpin scikit-build upper bound (#3609) @vyasr
• Implement C++ Edge Betweenness Centrality (#3602) @ChuckHastings

v23.04.00

🚨 Breaking Changes

• Pin dask and distributed for release (#3427) @galipremsagar
• Use Correct Searchsorted Function and Drop cupy from CuGraphStore in cugraph-pyg (#3382) @alexbarghi-nv
• New PyG End-to-End Examples (#3326) @alexbarghi-nv
• Update cugraph-pyg Recipe and CI Script (#3288) @alexbarghi-nv
• remove legacy WCC code (#3283) @ChuckHastings
• API improvements for end-to-end MG sampling performance (#3269) @ChuckHastings
• Cleanup obsolete visitor code (#3268) @ChuckHastings
• Remove legacy sampling implementation, no longer used (#3252) @ChuckHastings
• Remove legacy mg bfs (#3250) @ChuckHastings
• Remove legacy two_hop_neighbors function (#3248) @ChuckHastings
• Remove legacy C++ code for k-core algorithms (#3246) @ChuckHastings

🐛 Bug Fixes

• Support Minor Releases of PyG (#3422) @alexbarghi-nv
• Critical: Force cudf.concat when passing in a cudf Series to MG Uniform Neighbor Sample (#3416) @alexbarghi-nv
• Add back deleted version attribute (#3411) @vyasr
• Reindex Start Vertices and Batch Ids Prior to Sampling Call (#3393) @alexbarghi-nv
• Replace CUDA_TRY with RAFT_CUDA_TRY (#3389) @naimnv
• Use Correct Searchsorted Function and Drop cupy from CuGraphStore in cugraph-pyg (#3382) @alexbarghi-nv
• Properly handle dask change (#3361) @jnke2016
• Missing indentation leading to an UnboundedLocalError (#3354) @AmroAlJundi
• Remove MANIFEST.in use auto-generated one for sdists and package_data for wheels (#3342) @vyasr
• Remove unused RAFT import causing ImportError (#3306) @jnke2016
• Add missing cugraph-ops conditional (#3270) @vyasr
• Bug fix to BulkSampler (#3249) @VibhuJawa
• Bug Fixes to DGL Dataloader (#3247) @VibhuJawa
• Fix libraft-distance version in 23.04 (#3241) @galipremsagar
• Fix Edge case in Bulk Sampler (#3229) @VibhuJawa
• Fix libcugraph debug build warnings/errors (#3214) @seunghwak

📖 Documentation

• New cugraph site structure (#3343) @acostadon
• docs: Typo on Leiden docstring (#3329) @lvxhnat
• Changed docs to reflect need for undirected graph in wcc algo (#3322) @acostadon
• docs: RMAT doc string typo (#3308) @ArturKasymov
• Doc fix and change to Louvain notebook (#3224) @acostadon

🚀 New Features

• Allow adding data to PropertyGraph that already has indices set (#3175) @eriknw
• SG tested Leiden (#2980) @naimnv

🛠️ Improvements

• Pin dask and distributed for release (#3427) @galipremsagar
• Doc Updates (#3418) @BradReesWork
• Pin cupy in wheel tests to supported versions (#3400) @vyasr
• Add MG implementation of induced subgraph (#3391) @jnke2016
• Properly retrieve the dask worker from client calls (#3379) @jnke2016
• MG C++ test updates (#3371) @seunghwak
• update conv layers in cugraph-dgl for pylibcugraphops 23.04 (#3360) @tingyu66
• Generate pyproject dependencies using dfg (#3355) @vyasr
• Fix PropertyGraph.renumber_*_by_type with only default types (#3352) @eriknw
• Stop setting package version attribute in wheels (#3350) @vyasr
• Create a subgraph as a PropertyGraph via extract_subgraph (#3349) @eriknw
• Updating cugraph to use consolidated libraft target (#3348) @cjnolet
• Random vertex sampling utility function for C++ tests (#3347) @seunghwak
• Add c api for several legacy algorithms (#3346) @ChuckHastings
• elementwise_min|max reduction op (#3341) @seunghwak
• New PyG End-to-End Examples (#3326) @alexbarghi-nv
• Pass AWS_SESSION_TOKEN and SCCACHE_S3_USE_SSL vars to conda build (#3324) @ajschmidt8
• Update extract_if_e to extract_transform_e (#3323) @seunghwak
• Update aarch64 to GCC 11 (#3319) @bdice
• Migrate as much as possible to pyproject.toml (#3317) @vyasr
• Add CI to cugraph_dgl (#3312) @VibhuJawa
• Update to GCC 11 (#3307) @bdice
• Update datasets download URL (#3305) @jjacobelli
• Adapt to rapidsai/rmm#1221 which moves allocator callbacks (#3300) @wence-
• Update datasets download URL (#3299) @jjacobelli
• Stop using versioneer to manage versions (#3298) @vyasr
• Disable dataset downloads in ARM smoke tests. (#3295) @bdice
• Add dfg as a pre-commit hook. (#3294) @vyasr
• Refactoring tests (#3292) @BradReesWork
• Remove dead-code from cugraph-dgl (#3291) @VibhuJawa
• Update cuGraph-PyG Tests and Support Loading Saved Bulk Samples (#3289) @alexbarghi-nv
• Update cugraph-pyg Recipe and CI Script (#3288) @alexbarghi-nv
• Define and implement C API for RMAT generators (#3285) @ChuckHastings
• Flexible mapping between graph 2D partitioning and GPU 2D partitioning. (#3284) @seunghwak
• remove legacy WCC code (#3283) @ChuckHastings
• API improvements for end-to-end MG sampling performance (#3269) @ChuckHastings
• Cleanup obsolete visitor code (#3268) @ChuckHastings
• Download datasets in ARM wheel tests. (#3267) @bdice
• Remove cublas from the link dependencies (#3265) @ChuckHastings
• Reduce error handling verbosity in CI tests scripts (#3258) @AjayThorve
• Bump pinned pip wheel deps to 23.4 (#3253) @sevagh
• Remove legacy sampling implementation, no longer used (#3252) @ChuckHastings
• Update shared workflow branches (#3251) @ajschmidt8
• Remove legacy mg bfs (#3250) @ChuckHastings
• Remove legacy two_hop_neighbors function (#3248) @ChuckHastings
• Remove legacy C++ code for k-core algorithms (#3246) @ChuckHastings
• Unpin dask and distributed for development (#3243) @galipremsagar
• Remove gpuCI scripts. (#3242) @bdice
• Resolve auto merger (#3240) @galipremsagar
• Uniform sampling code cleanup and minor performance tuning (#3238) @seunghwak
• Minor code clean-up (#3237) @seunghwak
• Move date to build string in conda recipe (#3222) @ajschmidt8
• Multi-trainers cugraph-DGL examples (#3212) @VibhuJawa
• Fix merge conflicts (#3183) @ajschmidt8
• Performance tuning the sampling primitive for multi-node multi-GPU systems. (#3169) @seunghwak
• Initial implementation of the Leiden C API (#3165) @ChuckHastings
• Implement Vertex betweenness centrality (#3160) @ChuckHastings
• Add docs build job (#3157) @AyodeAwe
• Refactor betweenness centrality (#2971) @jnke2016
• Remove legacy renumbering (#2949) @jnke2016
• Graph sage example (#2925) @VibhuJawa

v23.02.00

🚨 Breaking Changes

• Pin dask and distributed for release (#3232) @galipremsagar
• Replace PropertyGraph in cugraph-PyG with FeatureStore (#3159) @alexbarghi-nv
• Remove CGS from cuGraph-PyG (#3155) @alexbarghi-nv
• Update cugraph_dgl to use the new FeatureStore (#3143) @VibhuJawa
• Implement New Sampling API in Python (#3082) @alexbarghi-nv
• Adds parameterized benchmarks for uniform_neighbor_sampling, updates benchmarks dir for future additions (#3048) @rlratzel

🐛 Bug Fixes

• Import handle from core (#3190) @vyasr
• Pin gcc to 9.x. (#3174) @vyasr
• Fixes devices vector alloc to fix seg fault, removes unused RAFT code in PLC, re-enables full CI testing (#3167) @rlratzel
• TEMPORARILY allows python and notebook tests that return exit code 139 to pass. (#3132) @rlratzel
• Bug fix in the C++ CSV file reader (used in C++ testing only). (#3055) @seunghwak

📖 Documentation

• Create a notebook comparing nx and cuGraph using synthetic data (#3135) @acostadon
• Add API's for dgl, pyg, cugraph service (server and client) to sphinx (#3075) @acostadon
• redo cuGraph main docs (#3060) @acostadon

🚀 New Features

• Bulk Loading Support for cuGraph-PyG (#3170) @alexbarghi-nv
• Feature storage (#3139) @VibhuJawa
• Add RelGraphConv, GATConv and SAGEConv models to cugraph_dgl (#3131) @tingyu66
• Created notebook for running louvain algorithm on a Multi-GPU Property Graph (#3130) @acostadon
• cugraph_dgl benchmarks (#3092) @VibhuJawa
• Add DGL benchmarks (#3089) @VibhuJawa
• Add cugraph+UCX build instructions (#3088) @VibhuJawa
• Implement New Sampling API in Python (#3082) @alexbarghi-nv
• Update per_v_transform_reduce_incoming|outgoing_e to take a reduction operator. (#2975) @seunghwak

🛠️ Improvements

• Pin dask and distributed for release (#3232) @galipremsagar
• Update shared workflow branches (#3231) @ajschmidt8
• Updates dependency to latest DGL (#3211) @rlratzel
• Make graph objects accessible across multiple clients (#3192) @VibhuJawa
• Drop extraneous columns that were appearing in MGPropertyGraph (#3191) @eriknw
• Enable using cugraph uniform sampling in multi client environments (#3184) @VibhuJawa
• DGL Dataloader (#3181) @VibhuJawa
• Update cuhornet to fix using namespace rmm;. (#3171) @bdice
• add type annotations to cugraph_dgl nn modules (#3166) @tingyu66
• Replace Raft header (#3162) @lowener
• Update to support NetworkX 3.0 (and handle other deprecations) (#3161) @eriknw
• Replace PropertyGraph in cugraph-PyG with FeatureStore (#3159) @alexbarghi-nv
• Adding density algorithm and test (#3156) @BradReesWork
• Remove CGS from cuGraph-PyG (#3155) @alexbarghi-nv
• Update cugraph_dgl to use the new FeatureStore (#3143) @VibhuJawa
• Fix documentation author (#3128) @bdice
• build.sh switch to use RAPIDS magic value (#3127) @robertmaynard
• Drop DiGraph (#3126) @BradReesWork
• MGPropertyGraph: fix OOM when renumbering by type (#3123) @eriknw
• Build CUDA 11.8 and Python 3.10 Packages (#3120) @bdice
• Updates README for cugraph-service to provide an up-to-date quickstart (#3119) @rlratzel
• Speed Improvements for cuGraph-PyG (Short Circuit, Use Type Indices) (#3101) @alexbarghi-nv
• Update workflows for nightly tests (#3098) @ajschmidt8
• GH Actions Notebook Testing Fixes (#3097) @ajschmidt8
• Build pip wheels alongside conda CI (#3096) @sevagh
• Add notebooks testing to GH Actions PR Workflow (#3095) @ajschmidt8
• Fix C++ Bugs in Graph Creation with Edge Properties (#3093) @alexbarghi-nv
• Update cugraph recipes (#3091) @ajschmidt8
• Fix tests for MG property graph (#3090) @eriknw
• Adds initial cugraph-service client scaling benchmark, refactorings, performance config updates (#3087) @rlratzel
• Optimize pg.get_x_data APIs (#3086) @VibhuJawa
• Add GitHub Actions Workflows (#3076) @bdice
• Updates conda versioning to install correct dependencies, changes CI script to better track deps from individual build installs (#3066) @seunghwak
• Use pre-commit for CI style checks. (#3062) @bdice
• Sampling primitive performance optimization. (#3061) @seunghwak
• Replace clock_gettime with std::chrono::steady_clock (#3049) @seunghwak
• Adds parameterized benchmarks for uniform_neighbor_sampling, updates benchmarks dir for future additions (#3048) @rlratzel
• Add dependencies.yaml for rapids-dependency-file-generator (#3042) @ChuckHastings
• Unpin dask and distributed for development (#3036) @galipremsagar
• Forward merge 22.12 into 23.02 (#3033) @vyasr
• Optimize pg.add_data for vector properties (#3022) @VibhuJawa
• Adds better reporting of server subprocess errors during testing (#3012) @rlratzel
• Update cugraph_dgl to use vector_properties (#3000) @VibhuJawa
• Fix MG C++ Jaccard/Overlap/Sorensen coefficients tests. (#2999) @seunghwak
• Update Uniform Neighborhood Sampling API (#2997) @ChuckHastings
• Use Vertex ID Offsets in CuGraphStorage (#2996) @alexbarghi-nv
• Replace deprecated raft headers (#2978) @lowener

v22.12.00

🚨 Breaking Changes

• remove all algorithms from cython.cu (#2955) @ChuckHastings
• PyG Monorepo Refactor (#2905) @alexbarghi-nv
• Fix PyG Loaders by properly supporting multi_get_tensor (#2860) @alexbarghi-nv
• Adds arbitrary server extension support to cugraph-service (#2850) @rlratzel
• Separate edge weights from graph objects and update primitives to support general edge properties. (#2843) @seunghwak
• Move weight-related graph_t and graph_view_t member functions to standalone functions (#2841) @seunghwak
• Avoid directly calling graph constructor (as code cleanup before edge property support in primitives) (#2834) @seunghwak
• Split Sampler from Graph Store to Support New PyG Sampling API (#2803) @alexbarghi-nv
• Code cleanup (remove dead code and move legacy files to the legacy directory) (#2798) @seunghwak
• remove graph broadcast and serialization object, not used (#2783) @ChuckHastings
• Multi-GPU induced subgraph tests code (#2602) @yang-hu-nv

🐛 Bug Fixes

• Removed unused testing code that caused a cudf dependency (#3065) @rlratzel
• Always build without isolation (#3052) @vyasr
• Makes cugraph-pyg an optional depenency for cugraph-service tests (#3051) @rlratzel
• Fix cugraph_c target name in Python builds (#3045) @vyasr
• Initialize CUDA architectures for all Python cugraph builds (#3041) @vyasr
• Update the python API to create a PLC graph from a CSR (#3027) @jnke2016
• Updates experimental warning wrapper and PropertyGraph docs for correct experimental namespace name (#3007) @rlratzel
• Fix cluster startup script (#2977) @VibhuJawa
• Don't use CMake 3.25.0 as it has a FindCUDAToolkit show stopping bug (#2957) @robertmaynard
• Fix build script to install dask main (#2943) @galipremsagar
• Fixes options added to build.sh for building without cugraph-ops that were dropped in a merge mistake. (#2935) @rlratzel
• Update dgl dependency to dglcuda=11.6 (#2929) @VibhuJawa
• Adds option to build.sh to build without cugraphops, updates docs (#2904) @rlratzel
• Fix bug in how is_symmetric is set when transposing storage (#2898) @ChuckHastings
• Correct build failures when doing a local build (#2895) @robertmaynard
• Update cuda-python dependency to 11.7.1 (#2865) @galipremsagar
• Add package to the list of dependencies (#2858) @jnke2016
• Add parameter checks to BFS and SSSP in C API (#2844) @ChuckHastings
• Fix uniform neighborhood sampling memory leak (#2835) @ChuckHastings
• Fix out of index errors encountered with sampling on out of index samples (#2825) @VibhuJawa
• Fix MG tests bugs (#2819) @jnke2016
• Fix MNMG failures in mg_dgl_extensions (#2786) @VibhuJawa
• Bug fix when -1 is used as a valid external vertex ID (#2776) @seunghwak

📖 Documentation

• Update dgl-cuda conda installation instructions (#2972) @VibhuJawa
• cuGraph Readme pages and Documentation API structure refactoring (#2894) @acostadon
• Create a page on why we do not support cascading (#2842) @BradReesWork
• Add ProperyGraph to doc generation and update docstrings (#2826) @acostadon
• Updated Release Notebook for changes in latest cuGraph release (#2800) @acostadon

🚀 New Features

• Add wheel builds (#2964) @vyasr
• Reenable copy_prs (#2959) @vyasr
• Provide option to keep original vertex/edge IDs when renumbering (#2951) @eriknw
• Support cuGraph-Service in cuGraph-PyG (#2946) @alexbarghi-nv
• Add conda yml forcugraph+torch+DGL dev (#2919) @VibhuJawa
• Bring up cugraph_dgl_repo (#2896) @VibhuJawa
• Adds setup.py files and conda recipes for cugraph-service (#2862) @BradReesWork
• Add remote storage support (#2859) @VibhuJawa
• Separate edge weights from graph objects and update primitives to support general edge properties. (#2843) @seunghwak
• GitHub Action adding issues/prs to project board (#2837) @jarmak-nv
• Replacing markdown issue templates with yml forms (#2836) @jarmak-nv
• Cugraph-Service Remote Graphs and Algorithm Dispatch (#2832) @alexbarghi-nv
• Remote Graph Wrappers for cuGraph-Service (#2821) @alexbarghi-nv
• Updte transform_reduce_e_by_src|dst_key to take a custom reduction op (#2813) @seunghwak
• C++ minimal CSV reader (#2791) @seunghwak
• K-hop neighbors (#2782) @seunghwak

🛠️ Improvements

• Update dask-cuda version and disable wheel builds in CI (#3009) @vyasr
• Branch 22.12 merge 22.10 (#3008) @rlratzel
• Shuffle the vertex pair (#3002) @jnke2016
• remove all algorithms from cython.cu (#2955) @ChuckHastings
• Update gitignore to Exclude Egg Files (#2948) @alexbarghi-nv
• Pin dask and distributed for release (#2940) @galipremsagar
• Make dgl, pytorch optional imports for cugraph_dgl package (#2936) @VibhuJawa
• Implement k core (#2933) @ChuckHastings
• CuGraph-Service Asyncio Fix (#2932) @alexbarghi-nv
• Debug MG egonet issues (#2926) @ChuckHastings
• Optimize PG.add_data (#2924) @VibhuJawa
• Implement C API Similarity (#2923) @ChuckHastings
• Adds cugraph-dgl conda package, updates CI scripts to build and upload it (#2921) @rlratzel
• key, value store abstraction (#2920) @seunghwak
• Implement two_hop_neighbors C API (#2915) @ChuckHastings
• PyG Monorepo Refactor (#2905) @alexbarghi-nv
• Update cugraph to support building for Ada and Hopper (#2889) @robertmaynard
• Optimize dask.uniform_neighbor_sample (#2887) @VibhuJawa
• Add vector properties (#2882) @eriknw
• Add view_concat for edge_minor_property_view_t and update transform_reduce_e_by_dst_key to support reduce_op on tuple types (#2879) @naimnv
• Update egonet implementation (#2874) @jnke2016
• Use new rapids-cmake functionality for rpath handling. (#2868) @vyasr
• Update python WCC to leverage the CAPI (#2866) @jnke2016
• Define and implement C/C++ for MNMG Egonet (#2864) @ChuckHastings
• Update uniform random walks implementation (#2861) @jnke2016
• Fix PyG Loaders by properly supporting multi_get_tensor (#2860) @alexbarghi-nv
• CAPI create graph from CSR (#2856) @ChuckHastings
• Remove pg dependency from cugraph store.py (#2855) @VibhuJawa
• Define C API and implement induced subgraph (#2854) @ChuckHastings
• Adds arbitrary server extension support to cugraph-service (#2850) @rlratzel
• Remove stale labeler (#2849) @raydouglass
• Ensure correct data type (#2847) @jnke2016
• Move weight-related graph_t and graph_view_t member functions to standalone functions (#2841) @seunghwak
• Move 'graph_store.py' under dgl_extensions (#2839) @VibhuJawa
• Avoid directly calling graph constructor (as code cleanup before edge property support in primitives) (#2834) @seunghwak
• removed docs from cugraph build defaults and updated docs clean (#2831) @acostadon
• Define API for Betweenness Centrality (#2823) @ChuckHastings
• Adds .git-blame-ignore-revs for recent .py files reformatting by black (#2809) @rlratzel
• Delete dead code in cython.cu (#2807) @seunghwak
• Persist more in MGPropertyGraph (#2805) @eriknw
• Fix concat with different index dtypes in SG PropertyGraph (#2804) @eriknw
• Split Sampler from Graph Store to Support New PyG Sampling API (#2803) @alexbarghi-nv
• added a passthrough for storing transposed (#2799) @BradReesWork
• Code cleanup (remove dead code and move legacy files to the legacy directory) (#2798) @seunghwak
• PG: join new vertex data by vertex ids (#2796) @eriknw
• Allow passing a dict in feat_name for add_edge_data and add_node_data (#2795) @VibhuJawa
• remove graph broadcast and serialization object, not used (#2783) @ChuckHastings
• Format Python code with black (#2778) @eriknw
• remove unused mechanism for calling Louvain (#2777) @ChuckHastings
• Unpin dask and distributed for development (#2772) @galipremsagar
• Fix auto-merger (#2771) @galipremsagar
• Fix library version in yml files (#2764) @galipremsagar
• Refactor k-core (#2731) @jnke2016
• Adds API option to uniform_neighbor_sample() and UCX-Py infrastructure to allow for a client-side device to directly receive results (#2715) @rlratzel
• Add or Update Similarity algorithms (#2704) @jnke2016
• Define a C API for data masking (#2630) @ChuckHastings
• Multi-GPU induced subgraph tests code (#2602) @yang-hu-nv

v22.10.01

🚨 Breaking Changes

• Add is_multigraph to PG and change has_duplicate_edges to use types (#2708) @eriknw
• Enable PLC algos to leverage the PLC graph (#2682) @jnke2016
• Reduce cuGraph Sampling Overhead for PyG (#2653) @alexbarghi-nv
• Code cleanup (#2617) @seunghwak
• Update vertex_frontier_t to take unsorted (tagged-)vertex list with possible duplicates (#2584) @seunghwak
• CuGraph+PyG Wrappers and Loaders (#2567) @alexbarghi-nv
• Rename multiple .cuh (.cu) files to .hpp (.cpp) (#2501) @seunghwak

🐛 Bug Fixes

• Properly Distribute Start Vertices for MG Uniform Neighbor Sample (#2765) @alexbarghi-nv
• Removes unneeded test dependency on cugraph from pylibcugraph tests (#2738) @rlratzel
• Add modularity to return result for louvain (#2706) @ChuckHastings
• Fixes bug in NumberMap preventing use of string vertex IDs for MG graphs (#2688) @rlratzel
• Release all inactive futures (#2659) @jnke2016
• Fix MG PLC algos intermittent hang (#2607) @jnke2016
• Fix MG Louvain C API test (#2588) @ChuckHastings

📖 Documentation

• Adding new classes to api docs (#2754) @acostadon
• Removed reference to hard limit of 2 billion vertices for dask cugraph (#2680) @acostadon
• updated list of conferences (#2672) @BradReesWork
• Refactor Sampling, Structure and Traversal Notebooks (#2628) @acostadon

🚀 New Features

• Implement a vertex pair intersection primitive (#2728) @seunghwak
• Implement a random selection primitive (#2703) @seunghwak
• adds mechanism to skip notebook directories for different run types (#2693) @acostadon
• Create graph with edge property values (#2660) @seunghwak
• Reduce cuGraph Sampling Overhead for PyG (#2653) @alexbarghi-nv
• Primitive to support gathering one hop neighbors (#2623) @seunghwak
• Define a selection primtive API (#2586) @seunghwak
• Leiden C++ API (#2569) @naimnv
• CuGraph+PyG Wrappers and Loaders (#2567) @alexbarghi-nv
• create a graph with additional edge properties (#2521) @seunghwak

🛠️ Improvements

• Update cuda-python dependency to 11.7.1 (#2848) @shwina
• Fix docs builds (#2814) @ajschmidt8
• Add missing entries in update-version.sh (#2763) @galipremsagar
• Pin dask and distributed for release (#2758) @galipremsagar
• Allow users to provide their own edge IDS to PropertyGraph (#2757) @eriknw
• Raise a warning for certain algorithms (#2756) @jnke2016
• Fix cuGraph compile-time warnings. (#2755) @seunghwak
• Use new sampling primitives (#2751) @ChuckHastings
• C++ implementation for unweighted Jaccard/Sorensen/Overlap (#2750) @ChuckHastings
• suppress expansion of unused raft spectral templates (#2739) @cjnolet
• Update unit tests to leverage the datasets API (#2733) @jnke2016
• Update raft import (#2729) @jnke2016
• Document that minimum required CMake version is now 3.23.1 (#2725) @robertmaynard
• fix Comms import (#2717) @BradReesWork
• added tests for triangle count on unweighted graphs and graphs with int64 vertex types (#2716) @acostadon
• Define k-core API and tests (#2712) @ChuckHastings
• Add is_multigraph to PG and change has_duplicate_edges to use types (#2708) @eriknw
• Refactor louvain (#2705) @jnke2016
• new notebook for loading mag240m (#2701) @BradReesWork
• PG allow get_vertex_data to accept single type or id (#2698) @eriknw
• Renumber PG to be contiguous per type (#2697) @eriknw
• Added SamplingResult cdef class to return cupy "views" for PLC sampling algos instead of copying result data (#2684) @rlratzel
• Enable PLC algos to leverage the PLC graph (#2682) @jnke2016
• graph_mask_t and separating raft includes for host_span and device_span (#2679) @cjnolet
• Promote triangle count from experimental (#2671) @jnke2016
• Small fix to the MG PyG Test to Account for Current Sampling Behavior (#2666) @alexbarghi-nv
• Move GaaS sources, tests, docs, scripts from the rapidsai/GaaS repo to the cugraph repo (#2661) @rlratzel
• C, Pylibcugraph, and Python API Updates for Edge Types (#2629) @alexbarghi-nv
• Add coverage for uniform neighbor sampling (#2625) @jnke2016
• Define C and C++ APIs for Jaccard/Sorensen/Overlap (#2624) @ChuckHastings
• Code cleanup (#2617) @seunghwak
• Branch 22.10 merge 22.08 (#2599) @rlratzel
• Restructure Louvain to be more like other algorithms (#2594) @ChuckHastings
• Hetrograph and dask_cudf support (#2592) @VibhuJawa
• remove pagerank from cython.cu (#2587) @ChuckHastings
• MG uniform random walk implementation (#2585) @ChuckHastings
• Update vertex_frontier_t to take unsorted (tagged-)vertex list with possible duplicates (#2584) @seunghwak
• Use edge_ids directly in uniform sampling call to prevent cost of edge_id lookup (#2550) @VibhuJawa
• PropertyGraph set index to vertex and edge ids (#2523) @eriknw
• Use rapids-cmake 22.10 best practice for RAPIDS.cmake location (#2518) @robertmaynard
• Unpin dask and distributed for development (#2517) @galipremsagar
• Use category dtype for type in PropertyGraph (#2510) @eriknw
• Split edge_partition_src_dst_property.cuh to .hpp and .cuh files. (#2503) @seunghwak
• Rename multiple .cuh (.cu) files to .hpp (.cpp) (#2501) @seunghwak
• Fix Forward-Merger Conflicts (#2474) @ajschmidt8
• Add tests for reading edge and vertex data from single input in PG, implementation to follow. (#2154) @rlratzel