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We study the planted clique problem in which a clique of size k is planted in an Erdos-Renyi graph G(n,1/2) and one is interested in recovering this planted clique. It is widely believed that it exhibits a statistical-computational gap when…

Computational Complexity · Computer Science 2022-10-18 Jay Mardia , Hilal Asi , Kabir Aladin Chandrasekher

Planted dense cycles are a type of latent structure that appears in many applications, such as small-world networks in social sciences and sequence assembly in computational biology. We consider a model where a dense cycle with expected…

Statistics Theory · Mathematics 2023-06-22 Cheng Mao , Alexander S. Wein , Shenduo Zhang

We investigate the problem of identifying planted cliques in random geometric graphs, focusing on two distinct algorithmic approaches: the first based on vertex degrees (VD) and the other on common neighbors (CN). We analyze the performance…

Probability · Mathematics 2026-04-10 Konstantin Avrachenkov , Andrei Bobu , Nelly Litvak , Riccardo Michielan

In this paper, we study the Planted Clique problem in a semi-random model. Our model is inspired from the Feige-Kilian model [16] which has been studied in many other works [8,11,17,26,35,38] for a variety of graph problems. Our algorithm…

Data Structures and Algorithms · Computer Science 2025-12-09 Yash Khanna

We study the planted clique problem in which a clique of size k is planted in an Erd\H{o}s-R\'enyi graph G(n, 1/2), and one is interested in either detecting or recovering this planted clique. This problem is interesting because it is…

Computational Complexity · Computer Science 2020-11-25 Jay Mardia

We study efficient algorithms for recovering cliques in dense random intersection graphs (RIGs). In this model, $d = n^{\Omega(1)}$ cliques of size approximately $k$ are randomly planted by choosing the vertices to participate in each…

Data Structures and Algorithms · Computer Science 2026-04-13 Andreas Göbel , Janosch Ruff , Leon Schiller

We give a polynomial-time algorithm that finds a planted clique of size $k \ge \sqrt{n \log n}$ in the semirandom model, improving the state-of-the-art $\sqrt{n} (\log n)^2$ bound. This $\textit{semirandom planted clique problem}$ concerns…

Data Structures and Algorithms · Computer Science 2025-06-24 Venkatesan Guruswami , Hsin-Po Wang

Consider an Erd\"os-Renyi random graph in which each edge is present independently with probability 1/2, except for a subset $\sC_N$ of the vertices that form a clique (a completely connected subgraph). We consider the problem of…

Probability · Mathematics 2013-04-29 Yash Deshpande , Andrea Montanari

Suppose a graph $G$ is stochastically created by uniformly sampling vertices along a line segment and connecting each pair of vertices with a probability that is a known decreasing function of their distance. We ask if it is possible to…

Data Structures and Algorithms · Computer Science 2020-06-09 Yu Chen , Sampath Kannan , Sanjeev Khanna

In the planted partition problem, the $n$ vertices of a random graph are partitioned into $k$ "clusters," and edges between vertices in the same cluster and different clusters are included with constant probability $p$ and $q$, respectively…

Data Structures and Algorithms · Computer Science 2017-08-24 Sam Cole

We study a planted clique model introduced by Feige where a complete graph of size $c\cdot n$ is planted uniformly at random in an arbitrary $n$-vertex graph. We give a simple deterministic algorithm that, in almost linear time, recovers a…

Computational Complexity · Computer Science 2025-05-13 Francesco Agrimonti , Marco Bressan , Tommaso d'Orsi

Hypergraph data are often projected onto a weighted graph by constructing an adjacency matrix whose $(i,j)$ entry counts the number of hyperedges containing both nodes $i$ and $j$. This reduction is computationally convenient, but it can…

Statistics Theory · Mathematics 2026-04-20 Kalle Alaluusua , B. R. Vinay Kumar

The problem of finding the largest induced balanced bipartite subgraph in a given graph is NP-hard. This problem is closely related to the problem of finding the smallest Odd Cycle Transversal. In this work, we consider the following model…

Data Structures and Algorithms · Computer Science 2022-05-16 Akash Kumar , Anand Louis , Rameesh Paul

We study graph matching between two correlated networks in the almost fully seeded regime, where all but a vanishing fraction of vertex correspondences are revealed. Concretely, we consider the correlated stochastic block model and assume…

Statistics Theory · Mathematics 2026-02-10 Nicolas Fraiman , Michael Nisenzon

We design new polynomial-time algorithms for recovering planted cliques in the semi-random graph model introduced by Feige and Kilian 2001. The previous best algorithms for this model succeed if the planted clique has size at least…

Data Structures and Algorithms · Computer Science 2023-06-07 Rares-Darius Buhai , Pravesh K. Kothari , David Steurer

We consider a variant of the planted clique problem where we are allowed unbounded computational time but can only investigate a small part of the graph by adaptive edge queries. We determine (up to logarithmic factors) the number of…

Combinatorics · Mathematics 2020-07-27 Miklós Z. Rácz , Benjamin Schiffer

We study the problem of efficiently recovering the matching between an unlabelled collection of $n$ points in $\mathbb{R}^d$ and a small random perturbation of those points. We consider a model where the initial points are i.i.d. standard…

Data Structures and Algorithms · Computer Science 2021-07-13 Dmitriy Kunisky , Jonathan Niles-Weed

The problem of finding large cliques in random graphs and its "planted" variant, where one wants to recover a clique of size $\omega \gg \log{(n)}$ added to an \Erdos-\Renyi graph $G \sim G(n,\frac{1}{2})$, have been intensely studied.…

Computational Complexity · Computer Science 2015-07-21 Samuel B. Hopkins , Pravesh K. Kothari , Aaron Potechin

We study the computational complexity of two related problems: recovering a planted $q$-coloring in $G(n,1/2)$, and finding efficiently verifiable witnesses of non-$q$-colorability (a.k.a. refutations) in $G(n,1/2)$. Our main results show…

Computational Complexity · Computer Science 2023-03-02 Pravesh K. Kothari , Santosh S. Vempala , Alexander S. Wein , Jeff Xu

We initiate the algorithmic study of retracting a graph into a cycle in the graph, which seeks a mapping of the graph vertices to the cycle vertices, so as to minimize the maximum stretch of any edge, subject to the constraint that the…

Data Structures and Algorithms · Computer Science 2019-04-29 Samuel Haney , Mehraneh Liaee , Bruce M. Maggs , Debmalya Panigrahi , Rajmohan Rajaraman , Ravi Sundaram
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