Zobrazeno 1 - 10
of 300
pro vyhledávání: '"P, Pothen"'
Autor:
Das, Siddhartha Shankar, Ferdous, S M, Halappanavar, Mahantesh M, Serra, Edoardo, Pothen, Alex
We propose AGS-GNN, a novel attribute-guided sampling algorithm for Graph Neural Networks (GNNs) that exploits node features and connectivity structure of a graph while simultaneously adapting for both homophily and heterophily in graphs. (In homophi
Externí odkaz:
http://arxiv.org/abs/2405.15218
We describe a parallel approximation algorithm for maximizing monotone submodular functions subject to hereditary constraints on distributed memory multiprocessors. Our work is motivated by the need to solve submodular optimization problems on massiv
Externí odkaz:
http://arxiv.org/abs/2403.10332
We design and implement two single-pass semi-streaming algorithms for the maximum weight $k$-disjoint matching ($k$-DM) problem. Given an integer $k$, the $k$-DM problem is to find $k$ pairwise edge-disjoint matchings such that the sum of the weights
Externí odkaz:
http://arxiv.org/abs/2311.02073
Autor:
Shemonti, Abida Sanjana, Eisenberg, Joshua D., Heuckeroth, Robert O., Howard, Marthe J., Pothen, Alex, Rajwa, Bartek
We describe a generative network model of the architecture of the enteric nervous system (ENS) in the colon employing data from images of human and mouse tissue samples obtained through confocal microscopy. Our models combine spatial point pattern an
Externí odkaz:
http://arxiv.org/abs/2210.15044
Autor:
Shemonti, Abida Sanjana, Plebani, Emanuele, Biscola, Natalia P., Jaffey, Deborah M., Havton, Leif A., Keast, Janet R., Pothen, Alex, Dundar, M. Murat, Powley, Terry L., Rajwa, Bartek
A thorough understanding of the neuroanatomy of peripheral nerves is required for a better insight into their function and the development of neuromodulation tools and strategies. In biophysical modeling, it is commonly assumed that the complex spati
Externí odkaz:
http://arxiv.org/abs/2210.09554
Publikováno v:
Entropy 2023, 25, 541
Recent advances in quantum hardware offer new approaches to solve various optimization problems that can be computationally expensive when classical algorithms are employed. We propose a hybrid quantum-classical algorithm to solve a dynamic asset all
Externí odkaz:
http://arxiv.org/abs/2112.03188
We design new serial and parallel approximation algorithms for computing a maximum weight $b$-matching in an edge-weighted graph with a submodular objective function. This problem is NP-hard; the new algorithms have approximation ratio $1/3$, and are
Externí odkaz:
http://arxiv.org/abs/2107.05793
Autor:
Das, Siddhartha Shankar, Serra, Edoardo, Halappanavar, Mahantesh, Pothen, Alex, Al-Shaer, Ehab
Weaknesses in computer systems such as faults, bugs and errors in the architecture, design or implementation of software provide vulnerabilities that can be exploited by attackers to compromise the security of a system. Common Weakness Enumerations (
Externí odkaz:
http://arxiv.org/abs/2102.11498
Autor:
Ellen Hoornaert, Halil Yildiz, Lucie Pothen, Julien De Greef, Olivier Gheysens, Alexandra Kozyreff, Diego Castanares-Zapatero, Jean Cyr Yombi
Publikováno v:
Pathogens, Vol 13, Iss 5, p 398 (2024)
Background: Tuberculosis (TB) and sarcoidosis are two common granulomatous diseases involving lymph nodes. Differential diagnosis is not always easy because pathogen demonstration in tuberculosis is not always possible and both diseases share clinica
Externí odkaz:
https://doaj.org/article/d82f21b640cd4fd3a1d779ac7deeb270
Autor:
Al-Herz, Ahmed, Pothen, Alex
We consider the maximum vertex-weighted matching problem (MVM) for non-bipartite graphs. In earlier work we have described a 2/3-approximation algorithm for the MVM on bipartite graphs (Dobrian, Halappanavar, Pothen and Al-Herz, SIAM J. Scientific Co
Externí odkaz:
http://arxiv.org/abs/1902.05877