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cuGraph - RAPIDS Graph Analytics Library
Update decompress_to_edgelist to handle edge types
This PR 1. Performs edge triangle count in chunk 2. Enables k - 1 core optimization 3. Add C++ tests for edge triangle count 4. Move edge triangle count to...
Support [`torch_geometric.EdgeIndex`](https://pytorch-geometric.readthedocs.io/en/latest/generated/torch_geometric.edge_index.EdgeIndex.html) in models. Breaking changes: The `csc` argument in `model.forward()` has been renamed to `edge_index` to align with upstream models. For now, users can still pass in CSC tuples...
We currently support heterogeneous renumbering in the C++ sampling API. This issue is for extending that to heterogeneous graphs. Fundamentally, the process is the same with a few differences: Input:...
Create an MNMG sampling algorithm to work on a Heterogeneous graph. Need to be able to specify different fanout values by type. ```[tasklist] ### Tasks - [ ] https://github.com/rapidsai/cugraph/issues/2696 -...
Added to the MTMG library support for results that contain a vertex pair and a result. This will allow for support for all of the similarity algorithms. Added an MTMG...
Similar to https://github.com/rapidsai/cudf/pull/15552, we are testing [building RAPIDS with CCCL's main branch](https://github.com/NVIDIA/cccl/pull/1667) to get ahead of any breaking changes.
**[WIP]** I'm using this PR to debug/add support for `DASK_DATAFRAME__QUERY_PLANNING=True`. **NOTES**: - Depends on https://github.com/dask/dask-expr/pull/1041 [Merged] - Depends on https://github.com/dask/dask-expr/pull/1044
