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@schulzchristian schulzchristian released this 28 Mar 17:32
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Knowledge Base: First Community Contribution

New entry

  • 034 — Optimizing Label Propagation in Graph Clustering: Full AAE case study on KaHIP/ScalableCorrelationClustering. 30 experiments achieving 1.23x speedup (18.7%) via dense vectors replacing hash maps, counting-sort contraction, LP sweep specialization, persistent buffer reuse, and tcmalloc. Includes detailed experiment log (18 kept, 12 discarded) and what-didn't-work analysis.

Highlights

  • First knowledge base entry contributed from a real AAE session
  • Covers multilevel graph framework optimization end-to-end
  • Documents both successful and failed hypotheses with root-cause explanations