arXiv (All)
open access
Improved polynomial-time algorithms for detecting and recovering planted $Θ(\sqrt{n})$-cliques
In the planted clique problem, one observes either an Erdős--Rényi graph on $n$ vertices or such a graph with a clique added to $k = k(n)$ vertices, and seeks to detect or recover the clique. It is widely believed that $k = Θ(\sqrt{n})$ is the smallest clique size for which polynomial-time algorithm
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Sample Complexity of Correlation Detection in Erdős-Rényi graphs#821772
- A short review on the maximum clique problem algorithms with classical, AI, and quantum methods#376521
- Almost Linear 3-Spanners of Temporal Cliques#924970
- Almost Linear 3-Spanners of Temporal Cliques#920736
- Kernelization of 2-Club Cluster Edge Deletion on Interval Graphs#821011
Record · ID 1051182
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive