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Genetic Programming (GP) has found various applications. Understanding this type of algorithm from a theoretical point of view is a challenging task. The first results on the computational complexity of GP have been obtained for problems…

Neural and Evolutionary Computing · Computer Science 2011-05-09 Markus Wagner , Frank Neumann

Deciphering cell type heterogeneity is crucial for systematically understanding tissue homeostasis and its dysregulation in diseases. Computational deconvolution is an efficient approach estimating cell type abundances from a variety of…

Other Quantitative Biology · Quantitative Biology 2023-09-06 Lana X. Garmire , Yijun Li , Qianhui Huang , Chuan Xu , Sarah Teichmann , Naftali Kaminski , Matteo Pellegrini , Quan Nguyen , Andrew E. Teschendorff

Originally designed for applications in computer graphics, visual computing (VC) methods synthesize information about physical and virtual worlds, using prescribed algorithms optimized for spatial computing. VC is used to analyze geometry,…

We pointed out that a substantial number of CpG probes on the Illumina 450K array could be mapped to multiple loci across the human genome. These CpGs need to be considered when interpreting results using this platform.

Quantitative Methods · Quantitative Biology 2013-08-09 Xu Zhang , Wenbo Mu , Wei Zhang

Scaffolding is an important subproblem in "de novo" genome assembly in which mate pair data are used to construct a linear sequence of contigs separated by gaps. Here we present SLIQ, a set of simple linear inequalities derived from the…

Genomics · Quantitative Biology 2011-11-10 Rajat S. Roy , Kevin C. Chen , Anirvan M. Sengupta , Alexander Schliep

We propose a complex-valued neural-network (CV-NN) framework to optimally configure stacked intelligent surfaces (SIS) in next-generation multi-antenna systems. Unlike conventional solutions that separately tune analog metasurface phases or…

Information Theory · Computer Science 2025-09-09 Abdullah Zayat , Omran Abbas , Loic Markley , Anas Chaaban

Assume $ k $ is a positive integer, $ \lambda=\{k_1,k_2,...,k_q\} $ is a partition of $ k $ and $ G $ is a graph. A $\lambda$-assignment of $ G $ is a $ k $-assignment $ L $ of $ G $ such that the colour set $ \bigcup_{v\in V(G)} L(v) $ can…

Combinatorics · Mathematics 2021-09-03 Yangyan Gu , Xuding Zhu

Geometry and dimensionality have played crucial roles in our understanding of the fundamental laws of nature, with examples ranging from curved space-time in general relativity to modern theories of quantum gravity. In quantum many-body…

Quantum Physics · Physics 2025-04-10 Qiming Wu , Yue Shi , Jiehang Zhang

Graph coloring problems are a central topic of study in the theory of algorithms. We study the problem of partially coloring partially colorable graphs. For $\alpha \leq 1$ and $k \in \mathbb{Z}^+$, we say that a graph $G=(V,E)$ is…

Data Structures and Algorithms · Computer Science 2019-09-02 Suprovat Ghoshal , Anand Louis , Rahul Raychaudhury

Recently, Vision Graph Neural Network (ViG) has gained considerable attention in computer vision. Despite its groundbreaking innovation, Vision Graph Neural Network encounters key issues including the quadratic computational complexity…

Computer Vision and Pattern Recognition · Computer Science 2025-03-20 Caoshuo Li , Tanzhe Li , Xiaobin Hu , Donghao Luo , Taisong Jin

Graphs and recently hypergraphs have been known as an important tool for considering different properties of quantum many-body systems. In this paper, we study a mapping between an important class of quantum systems namely quantum…

Quantum Physics · Physics 2017-10-27 Mohammad Hossein Zarei

An independent transversal (IT) in a graph with a given vertex partition is an independent set consisting of one vertex in each partition class. Several sufficient conditions are known for the existence of an IT in a given graph with a…

Data Structures and Algorithms · Computer Science 2023-10-13 Alessandra Graf , David G. Harris , Penny Haxell

As computer scientists working in bioinformatics/computational biology, we often face the challenge of coming up with an algorithm to answer a biological question. This occurs in many areas, such as variant calling, alignment, and assembly.…

Data Structures and Algorithms · Computer Science 2018-01-04 Paul Medvedev

Control flow graphs (CFGs) are essential tools for understanding program behavior, yet the size of real-world CFGs makes them difficult to interpret. With thousands of nodes and edges, sophisticated graph drawing algorithms are required to…

Human-Computer Interaction · Computer Science 2025-11-10 Philipp Schaad , Tal Ben-Nun , Torsten Hoefler

The main goal of this paper is to formalize and explore a connection between chromatic properties of graphs with geometric representations and competitive analysis of on-line algorithms, which became apparent after the recent construction…

Data Structures and Algorithms · Computer Science 2016-12-30 Tomasz Krawczyk , Bartosz Walczak

A colouring of a graph $G=(V,E)$ is a function $c: V\rightarrow\{1,2,\ldots \}$ such that $c(u)\neq c(v)$ for every $uv\in E$. A $k$-regular list assignment of $G$ is a function $L$ with domain $V$ such that for every $u\in V$, $L(u)$ is a…

Data Structures and Algorithms · Computer Science 2019-02-08 Konrad K. Dabrowski , Francois Dross , Matthew Johnson , Daniel Paulusma

Graph drawing addresses the problem of finding a layout of a graph that satisfies given aesthetic and understandability objectives. The most important objective in graph drawing is minimization of the number of crossings in the drawing, as…

Computational Geometry · Computer Science 2014-01-22 Mohamed A. El-Sayed , S. Abdel-Khalek , Hanan H. Amin

Given a graph $G=(V, E)$ and a list of available colors $L(v)$ for each vertex $v\in V$, where $L(v) \subseteq \{1, 2, \ldots, k\}$, List $k$-Coloring refers to the problem of assigning colors to the vertices of $G$ so that each vertex…

Data Structures and Algorithms · Computer Science 2023-12-14 Banu Baklan Şen , Öznur Yaşar Diner , Thomas Erlebach

Knowledge Graphs (KGs) have become increasingly common for representing large-scale linked data. However, their immense size has required graph learning systems to assist humans in analysis, interpretation, and pattern detection. While…

Artificial Intelligence · Computer Science 2024-02-12 Jeffrey Sardina , Luca Costabello , Christophe Guéret

We show that there exist efficient algorithms for the triangle packing problem in colored permutation graphs, complete multipartite graphs, distance-hereditary graphs, k-modular permutation graphs and complements of k-partite graphs (when k…

Combinatorics · Mathematics 2011-04-21 Ton Kloks , Sheung-Hung Poon