v24.04.00

🚨 Breaking Changes

• C API for MNMG ECG (#4194) @naimnv
• Refactor and Fix test_induced_subgraph_mg (#4183) @nv-rliu
• Removes APIs that have been deprecated and have exceeded the grace period, improves *_warning_wrapper performance (#4176) @rlratzel
• Fixes for pandas 2, latest cudf, and wheel building (#4144) @vyasr

🐛 Bug Fixes

• Update pre-commit-hooks to v0.0.3 (#4264) @KyleFromNVIDIA
• Removes (unintentional?) runtime dependency on packaging from nx-cugraph (#4240) @rlratzel
• Fix kv_store_t build error when cuCollection is used as a backend and the value type is thrust::tuple (#4238) @seunghwak
• MTMG gather use of streams (#4237) @ChuckHastings
• remove NVTX calls in libcugraph_etl (#4229) @ChuckHastings
• Update cuGraph-PyG GraphSAGE Examples (#4224) @alexbarghi-nv
• transform_e bug fix in edge masking (#4221) @seunghwak
• Remove Usage of Experimental Datasets Package (#4220) @nv-rliu
• Fix pos_list api for force atlas (#4219) @hlinsen
• Fix louvain_communities, PropertyGraph, cudf column.full, dgl 2.1.0 CI failures (#4215) @eriknw
• Remove CUGRAPH_EXPECTS(!(this->has_edge_mask()), unimplemented.) (#4214) @naimnv
• fix scatter to handle empty graphs (#4193) @tingyu66
• Refactor and Fix test_induced_subgraph_mg (#4183) @nv-rliu
• Update SG notebook (#4169) @naimnv
• Use input rng_state rather than creating a local one (#4168) @naimnv
• Fix FutureWarnings in Graph Creation (#4167) @nv-rliu
• Fixes for pandas 2, latest cudf, and wheel building (#4144) @vyasr
• handle more RAPIDS version formats in update-version.sh, refactor dependencies.yaml (#4109) @jameslamb
• Mark kernels as internal (#4098) @robertmaynard

📖 Documentation

• Add Python 3.11 to Conda docs (#4213) @jakirkham
• Update installation docs for CUDA 12. (#4207) @bdice
• Fix in Docs to address question asked in issue 4182 (#4204) @acostadon
• [docs] fix GNN typo (#4196) @aMahanna
• Update README for cugraph notebooks (#4180) @naimnv
• Starting work on blog links and nx_cugraph docs (#4160) @acostadon

🚀 New Features

• Graph coloring and MIS (#4211) @naimnv
• Enable edge masking in the remaining primitives (#4186) @seunghwak
• Update per_v_random_select_transform_outgoing_e to support edge masking (#4174) @seunghwak
• cugraph examples (#4128) @naimnv
• Enable edge masking in additional primitives (#4126) @seunghwak
• Support CUDA 12.2 (#4088) @jameslamb
• cuGraph-DGL and WholeGraph Performance Testing with Feature Store Performance Improvements (#4081) @alexbarghi-nv

🛠️ Improvements

• Use conda env create --yes instead of --force (#4286) @bdice
• Always scatter in FP32 in TPConv (#4260) @tingyu66
• Remove outdated conda_build.sh. (#4257) @bdice
• update example build script with targets and options/help (#4254) @naimnv
• Refactor test utility functions and update SG & MG core_number tests to test with edge masking (#4253) @seunghwak
• nx-cugraph: add is_negatively_weighted (#4242) @eriknw
• Add upper bound to prevent usage of NumPy 2 (#4233) @bdice
• Adds nx-cugraph benchmarks for APIs added to prior releases that were never benchmarked (#4228) @rlratzel
• Make external vertex and edge shuffling function public (#4227) @naimnv
• Updates nx-cugraph README for latest h/w, CUDA, python, NX requirements, moves updater to pre-commit (#4225) @rlratzel
• Enable pytest failures on warnings from cudf (#4223) @mroeschke
• Added a weighted example to the jaccard notebook (#4222) @acostadon
• Use public pandas and cudf APIs where possible (#4218) @mroeschke
• Remove hard-coding of RAPIDS version where possible (#4217) @KyleFromNVIDIA
• Treat nx-cugraph, cugraph-pyg, cugraph-dgl, and cugraph-equivariant CI artifacts as pure wheels (#4216) @bdice
• Add degrees to C API (#4212) @ChuckHastings
• Add additional kwargs to GATConv (#4210) @tingyu66
• Add DeprecationWarning to batched_ego_graphs (#4209) @nv-rliu
• Trim trailing whitespace (#4206) @bdice
• Automate C++ include file grouping and ordering using clang-format (#4205) @harrism
• nx-cugraph: add more shortest path algorithms (#4199) @eriknw
• Refactor MG Centrality Tests (#4197) @nv-rliu
• Add support for Python 3.11, require NumPy 1.23+ (#4195) @jameslamb
• C API for MNMG ECG (#4194) @naimnv
• nx-cugraph: update get_info function keys to NetworkX 3.3 (#4192) @eriknw
• Adds additional detail to Jaccard notebook (#4189) @rlratzel
• Update devcontainers to CUDA Toolkit 12.2 (#4184) @trxcllnt
• Update louvain_communities to match NetworkX 3.3 (added max_level) (#4177) @eriknw
• Removes APIs that have been deprecated and have exceeded the grace period, improves *_warning_wrapper performance (#4176) @rlratzel
• target branch-24.04 for GitHub Actions workflows (#4175) @jameslamb
• Add cuda-nvtx-dev, add missing CUDA library dependencies. (#4162) @bdice
• Enforce matching type (#4161) @jnke2016
• Add new all-pairs similarity algorithm (#4158) @ChuckHastings
• nx-cugraph: automatically generate trees in README.md (#4156) @eriknw
• Add environment-agnostic scripts for running ctests and pytests (#4152) @trxcllnt
• Ensure that ctest is called with --no-tests=error. (#4148) @bdice
• Update ops-bot.yaml (#4146) @AyodeAwe
• Replace local copyright check with pre-commit-hooks verify-copyright (#4130) @KyleFromNVIDIA
• Re-run ci/release/update-version.sh 24.04.00 (#4127) @jakirkham
• Address primitives performance regression with the added edge masking support (when edge masking is not in use) (#4119) @seunghwak
• Update cugraph for compatibility with the latest cuco (#4111) @PointKernel
• Add a new notebook for SNMG benchmark runs (#4091) @naimnv
• Ktruss implementation (#4059) @jnke2016

[NIGHTLY] v24.06.00

🔗 Links

• Development Branch
• Compare with main branch

🚨 Breaking Changes

• Address dask_cudf.read_csv chunksize deprecation (#4379) @mroeschke
• Convert device_memory_resource* to device_async_resource_ref (#4365) @harrism

🐛 Bug Fixes

• Address dask_cudf.read_csv chunksize deprecation (#4379) @mroeschke
• Fix bad Leiden result (#4376) @ChuckHastings
• Erdos-Renyi generator had bad logic in thrust calls (#4362) @ChuckHastings
• Change mamba option --force to --yes (#4357) @naimnv
• Fix false C++ HITS test failure on H100 (#4352) @seunghwak
• Bug fix in cugraph::detail::extract_transform_v_froniter_e (#4320) @seunghwak
• Refactor CMakeLists.txt to better express usage requirements (#4309) @robertmaynard
• [BUG] Always Persist Dask DataFrames in cuGraph-DGL Graph Storage (#4296) @alexbarghi-nv
• Fix Bug in MG ego_graph (#4262) @nv-rliu
• [FIX] Remove Unnecessary CUDA Check Causing Deprecation Warning (#4239) @alexbarghi-nv

📖 Documentation

• Removed obsolete methods from rst file (#4331) @acostadon
• Updates the nx-cugraph README.md with the latest upstream URLs (#4321) @rlratzel
• Fix Table for Synthetic Data notebook (#4311) @nv-rliu
• Fix Docstring for from_dask_cudf_edgelist (#4310) @nv-rliu
• fix PyPI URL in docs (#4282) @jameslamb
• Notebook fixes to formulas and outputs (#4272) @acostadon

🚀 New Features

• Always use a static gtest (#4344) @robertmaynard
• Update GNN sampling post processing functions to optionally consider seed vertices in renumbering (#4329) @seunghwak
• [FEA] cuGraph GNN NCCL-only Setup and Distributed Sampling (#4278) @alexbarghi-nv

🛠️ Improvements

• Update k_truss to work with many connected components (#4383) @eriknw
• Migrate to {{ stdlib("c") }} (#4374) @hcho3
• Convert device_memory_resource* to device_async_resource_ref (#4365) @harrism
• Add missing <optional> include (#4353) @trxcllnt
• nx-cugraph: support should_run that was added in NetworkX 3.3 (#4348) @eriknw
• Update generation and flattening of dendrogram in Leiden (#4347) @ChuckHastings
• Update pre-commit hooks to include all C and C++ files (#4332) @ChuckHastings
• Use appropriate edge src and dst properties based on is_multi_gpu flag (#4319) @naimnv
• Test GNN Examples and Add CUDA 12 Testing (#4317) @alexbarghi-nv
• Adds missing files to update-version.sh (#4314) @AyodeAwe
• Get rid of sentinel namespace (#4274) @PointKernel
• Update more C++ algorithm tests to include edge masked input graphs. (#4267) @seunghwak
• Update triangle count to internally use edge masking and update Triangle counting & K-hop neighbor tests to include edge masked graph view inputs (#4261) @seunghwak
• Add Additional Checks to get_edgelist and get_dask_edgelist (#4256) @nv-rliu

v24.02.00

🚨 Breaking Changes

• Remove Experimental Wrappers from GNN Code (#4070) @alexbarghi-nv
• Switch to scikit-build-core (#4053) @vyasr
• Update to CCCL 2.2.0. (#4052) @bdice

🐛 Bug Fixes

• Revert "Exclude tests from builds (#4147)" (#4157) @raydouglass
• Exclude tests from builds (#4147) @vyasr
• Constraint pytorch-dependent wheel test to only run on amd64 (#4133) @tingyu66
• Removes the networkx_algorithm decorator to all SCC functions to disable dispatching to them (#4120) @rlratzel
• Correct cugraph-pyg package name used in wheels and fix test script (#4083) @tingyu66
• Fix Jaccard hang (#4080) @jnke2016
• Fix OOB error, BFS C API should validate that the source vertex is a valid vertex (#4077) @ChuckHastings
• [BUG]Fix non-type template parameter to cugraph::relabel (#4064) @naimnv
• Fix MG weighted similarity test failure (#4054) @seunghwak
• MG C-API test failure fixes (#4047) @seunghwak
• Add a barrier before cugraph Graph creation (#4046) @VibhuJawa
• Fix % 0 bug in MG_SELECT_RANDOM_VERTICES test (#4034) @seunghwak
• Branch 24.02 merge branch 23.12 (#4012) @vyasr

📖 Documentation

• Updates nx-cugraph README.md with latest algos (#4135) @rlratzel
• corrected links in C API and added groups for support functions (#4131) @acostadon
• Forward-merge branch-23.12 to branch-24.02 (#4049) @GPUtester

🚀 New Features

• Implement has_edge() & compute_multiplicity() (#4096) @seunghwak
• Update per_v_transform_reduce_incoming|outgoing_e to support edge masking (#4085) @seunghwak
• Remove Experimental Wrappers from GNN Code (#4070) @alexbarghi-nv
• MNMG ECG (#4030) @naimnv
• Replace graph_view.hpp::number_of_edges with compute_number_of_edges (#4026) @seunghwak
• Update count_if_e, transform_reduce_e, and transform_e to support edge masking (#4001) @seunghwak
• Sampling Performance Testing (#3584) @alexbarghi-nv

🛠️ Improvements

• Adds option to rapids_cpm_find for raft to disable hnswlib feature, adds updates for pytest 8 compat, temporarily skips IO intensive test in CI (#4121) @rlratzel
• Adds benchmarks for additional nx-cugraph 24.02 algos (#4112) @rlratzel
• nx-cugraph: use coverage to ensure all algorithms were run (#4108) @eriknw
• nx-cugraph: rename plc= to _plc= (#4106) @eriknw
• nx-cugraph: add complement and reverse (#4103) @eriknw
• nx-cugraph: add core_number (undirected graphs only) (#4100) @eriknw
• nx-cugraph: add is_tree, etc. (#4097) @eriknw
• Optimize the drop-duplicate functionality (#4095) @jnke2016
• nx-cugraph: add triangles and clustering algorithms (#4093) @eriknw
• nx-cugraph: PLC now handles isolated nodes; clean up our workarounds (#4092) @eriknw
• Remove usages of rapids-env-update (#4090) @KyleFromNVIDIA
• Provide explicit pool sizes and avoid RMM detail APIs (#4086) @harrism
• refactor CUDA versions in dependencies.yaml (#4084) @jameslamb
• build wheels for cugraph-dgl and cugraph-pyg (#4075) @tingyu66
• Match weight-sharing option of GATConv in DGL (#4074) @tingyu66
• nx-cugraph: add weakly connected components (#4071) @eriknw
• nx-cugraph: indicate which plc algorithms are used and version_added (#4069) @eriknw
• Adds nx-cugraph benchmarks for 23.12 algos (SSSP, pagerank, hits, katz_centrality, degree_centrality, eigenvector_centrality) (#4065) @rlratzel
• nx-cugraph: add to_undirected method; add reciprocity algorithms (#4063) @eriknw
• Switch to scikit-build-core (#4053) @vyasr
• Update to CCCL 2.2.0. (#4052) @bdice
• Prevent actions/labeler from adding Label Checker labels (#4048) @ajschmidt8
• Update dependencies.yaml to new pip index (#4045) @vyasr
• Remove checks for Pascal, no longer supported (#4044) @ChuckHastings
• Fix HITS convergence error. (#4043) @seunghwak
• Test select_random_vertices for all possible values of flags (#4042) @naimnv
• Remove CUGRAPH_BUILD_WHEELS and standardize Python builds (#4041) @vyasr
• Create cugraph-equivariant package (#4036) @tingyu66
• [FEA]: Add DASK edgelist and graph support to the Dataset API (#4035) @huiyuxie
• Add support for Louvain to MTMG (#4033) @ChuckHastings
• Clean up self-loop and multi-edge removal logic (#4032) @ChuckHastings
• Mtmg updates for rmm (#4031) @ChuckHastings
• nx-cugraph: adds ancestors, descendants, and BFS algos (#4029) @eriknw
• nx-cugraph: update usage of nodes_or_number for nx compat (#4028) @eriknw
• Removes unsupported setup.py calls, cleans up text (#4024) @rlratzel
• Resolves conflicts from forward-merging branch-23.12 into branch-24.02 (#4020) @rlratzel
• Add HeteroGATConv to cugraph-pyg (#3914) @tingyu66
• Update for CCCL 2.x (#3862) @seunghwak

v23.12.00

🚨 Breaking Changes

• [BUG] Restore the original default order of CSR, which does not reverse edges in cuGraph-PyG (#3980) @alexbarghi-nv
• Resultset and Dataset Refactors (#3957) @nv-rliu
• Moves more MG graph ETL to libcugraph and re-enables MG tests in CI (#3941) @jnke2016

🐛 Bug Fixes

• Pin actions/labeler to v4 (#4038) @raydouglass
• Find rmm before cuco (#4011) @vyasr
• Pin to minor versions of packages outside the cuGraph repository. (#4004) @bdice
• Move MTMG_TEST to MG tests block (#3993) @naimnv
• Fix Leiden refinement phase (#3990) @naimnv
• [BUG] Fix Graph Construction From Pandas in cuGraph-PyG (#3985) @alexbarghi-nv
• [BUG] Restore the original default order of CSR, which does not reverse edges in cuGraph-PyG (#3980) @alexbarghi-nv
• Fix eigenvector testing and HITS testing discrepancies (#3979) @ChuckHastings
• [BUG] Fix Incorrect Edge Index, Directory Selection in cuGraph-PyG Loader (#3978) @alexbarghi-nv
• [BUG] Check if Dask has quit to avoid throwing an exception and triggering a segfault on ddp exit (#3961) @alexbarghi-nv
• nx-cugraph: xfail test_louvain.py:test_threshold in Python 3.9 (#3944) @eriknw

📖 Documentation

• [DOC]: Fix invalid links and add materials to notebooks (#4002) @huiyuxie
• Update Broken Links in README.md (#3924) @nv-rliu

🚀 New Features

• Implement the transform_e primitive (to update property values for all edges) (#3917) @seunghwak
• Update the neighbor intersection primitive to support edge masking. (#3550) @seunghwak

🛠️ Improvements

• Correct defect found in DLFW testing (#4021) @ChuckHastings
• nx-cugraph README update: adds missing connected_components algo to table (#4019) @rlratzel
• Build concurrency for nightly and merge triggers (#4009) @bdice
• Support drop_last Argument in cuGraph-PyG Loader (#3995) @alexbarghi-nv
• Adds update-version.sh support for recently added files containing RAPIDS versions (#3994) @rlratzel
• Use new rapids-dask-dependency metapackage for managing dask versions (#3991) @galipremsagar
• Fixes to nx-cugraph README: fixes typos, updates link to NX backend docs (#3989) @rlratzel
• Address FIXMEs (#3988) @seunghwak
• Updates README file to include nx-cugraph user documentation, adds nx-cugraph to main README (#3984) @rlratzel
• Update C API graph creation function signatures (#3982) @ChuckHastings
• [REVIEW]Optimize cugraph-DGL csc codepath (#3977) @VibhuJawa
• nx-cugraph: add SSSP (unweighted) (#3976) @eriknw
• CuGraph compatibility fixes (#3973) @brandon-b-miller
• Skip certain cugraph-pyg tests when torch-sparse is not available (#3970) @tingyu66
• nx-cugraph: add eigenvector_centrality, katz_centrality, hits, pagerank (#3968) @eriknw
• Cut peak memory footprint in graph creation (#3966) @seunghwak
• nx-cugraph: add CC for undirected graphs to fix k-truss (#3965) @eriknw
• Skip certain cugraph-pyg tests when torch_sparse is not available (#3962) @tingyu66
• Resultset and Dataset Refactors (#3957) @nv-rliu
• Download xml docs artifact through CloudFront endpoint (#3955) @AyodeAwe
• Add many graph generators to nx-cugraph (#3954) @eriknw
• Unpin dask and distributed for 23.12 development (#3953) @galipremsagar
• Errors compiling for DLFW on CUDA 12.3 (#3952) @ChuckHastings
• nx-cugraph: add k_truss and degree centralities (#3945) @eriknw
• nx-cugraph: handle seed argument in edge_betweenness_centrality (#3943) @eriknw
• Moves more MG graph ETL to libcugraph and re-enables MG tests in CI (#3941) @jnke2016
• Temporarily disable mg testing (#3940) @jnke2016
• adding C/C++ API docs (#3938) @BradReesWork
• Add multigraph support to nx-cugraph (#3934) @eriknw
• Setup Consistent Nightly Versions for Pip and Conda (#3933) @divyegala
• MTMG multi node (#3932) @ChuckHastings
• Use branch-23.12 workflows. (#3928) @bdice
• Fix an issue occurring in the cuGraph-DGL example for "mixed" mode. (#3927) @drivanov
• Updating Docs (#3923) @BradReesWork
• Forward-merge branch-23.10 to branch-23.12 (#3919) @nv-rliu
• new build all option (#3916) @BradReesWork
• Silence spurious compiler warnings (#3913) @seunghwak
• Link wholegrah and cugraphops XML docs (#3906) @AyodeAwe
• Updates to 23.12 (#3905) @raydouglass
• Forward-merge branch-23.10 to branch-23.12 (#3904) @GPUtester
• Build CUDA 12.0 ARM conda packages. (#3903) @bdice
• Merge branch-23.10 into branch-23.12 (#3898) @rlratzel
• Some MTMG code cleanup and small optimizations (#3894) @ChuckHastings
• Enable parallel mode (#3875) @jnke2016
• Adds benchmarks for nx-cugraph (#3854) @rlratzel
• Add nx-cugraph notebook for showing accelerated networkX APIs (#3830) @betochimas

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