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Adds benchmark for nx_cugraph.ego_graph #4451

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rlratzel
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Adds benchmark for nx_cugraph.ego_graph

Note: this code is not part of any installed package and does not affect the release. It is being added so it can be included in the branch-24.06 sources for reference.

@rlratzel rlratzel added improvement Improvement / enhancement to an existing function non-breaking Non-breaking change labels May 29, 2024
@rlratzel rlratzel added this to the 23.06 milestone May 29, 2024
@rlratzel rlratzel requested a review from eriknw May 29, 2024 21:58
@rlratzel rlratzel self-assigned this May 29, 2024
@rlratzel rlratzel requested review from a team and removed request for eriknw May 30, 2024 01:26
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@alexbarghi-nv alexbarghi-nv left a comment

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👍

@alexbarghi-nv
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/merge

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@eriknw eriknw left a comment

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LGTM, with the common caveat that this algorithm seems difficult to benchmark well in ways that match "real world" use cases (i.e., how should we choose initial nodes and k?), and nx.ego_graph has more functionality than is exercised here.

@rapids-bot rapids-bot bot merged commit 563c06e into rapidsai:branch-24.06 May 30, 2024
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3 participants