Výsledky vyhľadávania - Parameterized Complexity Algorithms Graph Algorithms Strong Triadic Closure Bayesian Networks

Parameterized Algorithmics for Graph-Based Data Analysis ; Parametrisierte Algorithmik für graphbasierte Datenanalyse

Autori: Grüttemeier, Niels Komusiewicz, Christian (Prof. Dr.)

Prispievatelia: Grüttemeier, Niels Komusiewicz, Christian (Prof. Dr.)

Predmety: Parameterized Complexity Algorithms Graph Algorithms Strong Triadic Closure Bayesian Networks, Parametrisierte Komplexität, Algorithmik

Time: 510

Popis súboru: application/pdf

Relation: diss/z2022/0114; https://doi.org/10.17192/z2022.0114

Dostupnosť: https://open.uni-marburg.de/handle/10.17192/z2022.0114
https://nbn-resolving.org/urn:nbn:de:hebis:04-z2022-01143
https://doi.org/10.17192/z2022.0114

Mathematical Frameworks for Network Dynamics: A Six-Pillar Survey for Analysis, Control, and Inference.

Autori: Volchenkov, Dimitri

Zdroj: Mathematics (2227-7390); Jul2025, Vol. 13 Issue 13, p2116, 74p

Predmety: SPECTRAL theory, DYNAMICAL systems, MULTILAYERS, MEAN field theory, MATHEMATICAL models, CONTROL theory (Engineering), INFERENTIAL statistics, TIME-varying networks

An Efficient Bet-GCN Approach for Link Prediction.

Autori: Saxena, Rahul Patil, Spandan Pankaj Verma, Atul Kumar a ďalší

Zdroj: International Journal of Interactive Multimedia & Artificial Intelligence; Mar2023, Vol. 8 Issue 1, p38-52, 15p

Predmety: GENERALIZABILITY theory, SOCIAL network analysis, BIOLOGICAL networks, PROTEIN-protein interactions, POLYMER networks, PREDICTION models, FORECASTING

Korporácia: AMAZON.COM Inc.

Graph Neural Networks in IoT: A Survey.

Autori: GUIMIN DONG MINGYUE TANG ZHIYUAN WANG a ďalší

Zdroj: ACM Transactions on Sensor Networks; May2023, Vol. 19 Issue 2, p1-50, 50p

Predmety: DEEP learning, CONVOLUTIONAL neural networks, RECURRENT neural networks, ARTIFICIAL neural networks, INTERNET of things, TELECOMMUNICATION, MACHINE learning

Advances in Graph Neural Networks.

Autori: Chuan Shi Xiao Wang Cheng Yang a ďalší

Zdroj: Synthesis Lectures on Data Mining & Knowledge Discovery; 2023, piii-200, 206p

What Are Higher-Order Networks?

Autori: Bick, Christian Gross, Elizabeth Harrington, Heather A. a ďalší

Zdroj: SIAM Review; Sep2023, Vol. 65 Issue 3, p686-731, 46p

Network representation learning: a systematic literature review.

Autori: Li, Bentian Pi, Dechang

Zdroj: Neural Computing & Applications; Nov2020, Vol. 32 Issue 21, p16647-16679, 33p

Predmety: VECTOR topology, VECTOR spaces, MACHINE learning

State-Dependent Kernel Selection for Conditional Sampling of Graphs.

Autori: Scott, James A. Gandy, Axel

Zdroj: Journal of Computational & Graphical Statistics; Oct-Dec2020, Vol. 29 Issue 4, p847-858, 12p

Predmety: MONTE Carlo method, KERNEL (Mathematics), CONTINGENCY tables, MARKOV chain Monte Carlo, WEIGHTED graphs

Random Graph Modeling: A Survey of the Concepts.

Autori: DROBYSHEVSKIY, MIKHAIL TURDAKOV, DENIS

Zdroj: ACM Computing Surveys; Nov2020, Vol. 52 Issue 6, p1-36, 36p, 1 Illustration

Predmety: RANDOM graphs, BIOLOGICAL networks, SOCIAL networks, HYPERBOLIC geometry

Combinatorial Algorithms

Autori: Sun-Yuan Hsieh Ling-Ju Hung Chia-Wei Lee

Typ zdroja: eBook.

Predmet: Computer science—Mathematics, Discrete mathematics, Computer engineering, Computer networks, Algorithms, Data structures (Computer science), Information theory, Computer graphics, Numerical analysis

Kategórie: COMPUTERS / Computer Science, COMPUTERS / Software Development & Engineering / Computer Graphics, COMPUTERS / Database Administration & Management, COMPUTERS / Information Theory, COMPUTERS / Hardware / General, MATHEMATICS / Discrete Mathematics, MATHEMATICS / Numerical Analysis

Network Embedding: Theories, Methods, and Applications.

Autori: Cheng Yang Zhiyuan Liu Cunchao Tu a ďalší

Zdroj: Synthesis Lectures on Artificial Intelligence & Machine Learning; 2021, Vol. 15 Issue 2, pix-220, 234p

Finding a Place for Networks in Archaeology.

Autori: Peeples, Matthew A.

Zdroj: Journal of Archaeological Research; Dec2019, Vol. 27 Issue 4, p451-499, 49p

Predmety: SOCIAL network analysis, SOCIAL groups, SOCIAL networks, GRAPH theory, HISTORY of archaeology, ARCHAEOLOGY

45 th Annual North American Meeting of the Society for Medical Decision Making, Philadelphia, Pennsylvania, United States, 22-25 October 2023.

Zdroj: Medical Decision Making; Apr2024, Vol. 44 Issue 3, pNP1-NP375, 375p

Confidence sets for network structure.

Autori: Airoldi, Edoardo M. Choi, David S. Wolfe, Patrick J.

Zdroj: Statistical Analysis & Data Mining; Oct2011, Vol. 4 Issue 5, p461-469, 9p

Predmety: ADOLESCENT health, RANDOM graphs, LATENT variables, BERNOULLI numbers, ANALYSIS of covariance

Connecting theory and simulation with experiment for the study of diffusion in nanoporous solids.

Autori: Bukowski, Brandon C. Keil, Frerich J. Ravikovitch, Peter I. a ďalší

Zdroj: Adsorption; Jul2021, Vol. 27 Issue 5, p683-760, 78p

Social network analysis: A methodological introduction.

Autori: Butts, Carter T.

Zdroj: Asian Journal of Social Psychology; Mar2008, Vol. 11 Issue 1, p13-41, 29p

Predmety: NETWORK analysis (Planning), SOCIAL networks, INTERPERSONAL relations, SOCIAL groups, OPERATIONS research, GRAPH theory, PRODUCTION scheduling, METHODOLOGY, SOCIOLOGY

HOMOPHILY AND TRANSITIVITY IN DYNAMIC NETWORK FORMATION.

Autori: Graham, Bryan S.

Zdroj: NBER Working Papers; 4/25/2016, preceding p1-37, 39p

Semantic Mining of Social Networks.

Autori: Jie Tang Juanzi Li

Zdroj: Synthesis Lectures on the Semantic Web: Theory & Technology; 2015, Vol. 5 Issue 2, pi-193, 205p

Link prediction in social networks: the state-of-the-art.

Alternate Title: 社交网络中的链接预测综述. (Chinese)

Autori: Wang, Peng Xu, BaoWen Wu, YuRong a ďalší

Zdroj: SCIENCE CHINA Information Sciences; Jan2015, Vol. 58 Issue 1, p1-38, 38p

40th Annual Meeting of the Society for Medical Decision Making Montréal, Québec, Canada, October 13–17, 2018.

Zdroj: Medical Decision Making; Jan2019, Vol. 39 Issue 1, pE1-E343, 343p