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cuGraph - RAPIDS Graph Analytics Library

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Next round of compile optimizations. Big focus on shuffle operations. Breaking since it deletes some deprecated functions. Aggregate reduction in size of libcugraph.so (with first two batches): 9%

improvement
breaking
cuGraph

Temporal sampling implementation. Sampling considers the time stamp of edges, if we arrive at a vertex `v` with timestamp `t1`, then when we depart from that vertex to continue sampling...

improvement
non-breaking
cuGraph
CMake

The latter is more or less deprecated and we want to move towards standard types While we are at it also clean up the pattern of `make_zip_iterator(make_tuple(...))`

cuGraph

…f algos

feature request
non-breaking
python
Notebook

First steps toward improving compile time and binary size. As of 4/28 - seems to reduce the binary size by 25% (CUDA 12.8 wheel shows libcugraph.so dropping from 2GB to...

improvement
breaking
cuGraph
CMake
python
ci

### What is your question? Hey, I am trying to run multi-GPU leiden clustering on a large graph with 3.7 billion edges. I have 4 NVIDIA A100 GPUs with 80G...

feature request

### What is your question? I want to generate several different results of Louvain, and need to random permute vertices in graph. In igraph, we can make it like this:...

feature request

### Version 24.10 ### Which installation method(s) does this occur on? Conda ### Describe the bug. `property_graph.select_vertices()` does not work with expressions with "in". Example:`expression = "(v_prop in [1, 4,...

bug

### Is this a new feature, an improvement, or a change to existing functionality? New Feature ### How would you describe the priority of this feature request Critical (currently preventing...

feature request

This might be a bit controversial because CCCL currently does not officially expose std::algorithms On the other hand it lets us replace a ton of thrust algorithms that are much...

improvement
non-breaking
cuGraph