[NIGHTLY] v25.10.00

🔗 Links

• Development Branch
• Compare with main branch

🚨 Breaking Changes

• Update shuffle_ext_vertices, shuffle_int_vertices, shuffle_local_edge_srcs to take std::vector<arithemtic_devcie_uvector_t> (#5225) @seunghwak
• cleanup and dropping NX (#5194) @BradReesWork

🐛 Bug Fixes

• mg_util supports running on tegra like machines (#5241) @robertmaynard
• Fix incorrect filter in ForceAtlas2 attraction kernel (#5229) @MathisHammel

📖 Documentation

• removing change blocks and some diagram improvements (#5231) @acostadon

🛠️ Improvements

• use dask-cuda[cu12, cu13] extras for wheel dependencies (#5243) @jameslamb
• Update rapids-dependency-file-generator (#5240) @KyleFromNVIDIA
• Move from UCX-Py to UCXX (#5238) @pentschev
• remove cugraph-pyg and wholegraph configuration (#5237) @jameslamb
• Build and test with CUDA 13.0.0 (#5236) @jameslamb
• Refactor Graph 500 BFS code and replace thrust::tuple with cuda::std::tuple (#5235) @seunghwak
• Raise wheel size threshold for libcugraph (#5230) @ChuckHastings
• Migrate from thrust::tuple to cuda::std::tuple (#5226) @ChuckHastings
• Update shuffle_ext_vertices, shuffle_int_vertices, shuffle_local_edge_srcs to take std::vector<arithemtic_devcie_uvector_t> (#5225) @seunghwak
• Use build cluster in devcontainers (#5223) @trxcllnt
• Use rapids_cuda_enable_fatbin_compression (#5222) @robertmaynard
• Update rapids_config to handle user defined branch name (#5218) @robertmaynard
• performance notebook improvements (#5217) @acostadon
• Update rapids-build-backend to 0.4.1 (#5211) @KyleFromNVIDIA
• ci(labeler): update labeler action to @v5 (#5205) @gforsyth
• Allows Dataset method get_edgelist() to be called on a CPU-only system (#5196) @rlratzel
• cugraph RAPIDS dependency now use the new rapids-cmake branch info (#5195) @robertmaynard
• cleanup and dropping NX (#5194) @BradReesWork
• Allow latest OS in devcontainers (#5188) @bdice
• Update build infra to support new branching strategy (#5172) @robertmaynard
• Temporal Graph Construction C API (#5161) @ChuckHastings
• Improve betweenness centrality performance (#5146) @HowardHuang1
• Use GCC 14 in conda builds. (#5124) @vyasr