A Fast and High Quality Multilevel Scheme for Partitioning Irregular Graphs
about
Chaste: an open source C++ library for computational physiology and biology.Neurokernel: An Open Source Platform for Emulating the Fruit Fly BrainComparative Normal Mode Analysis of the Dynamics of DENV and ZIKV CapsidsGeneration of internal solitary waves by frontally forced intrusions in geophysical flows.Modular biological function is most effectively captured by combining molecular interaction data typesData-driven prediction and design of bZIP coiled-coil interactions.Extending P450 site-of-metabolism models with region-resolution data.Finding common task-related regions in fMRI data from multiple subjects by periodogram clustering and clustering ensemble.Discovering client and intervention patterns in home visiting data.A strategy to apply quantitative epistasis analysis on developmental traitsNode Attribute-enhanced Community Detection in Complex NetworksWeighted least-squares finite element method for cardiac blood flow simulation with echocardiographic data.Reconstructing the genomic content of microbiome taxa through shotgun metagenomic deconvolution.Modeling and enhanced sampling of molecular systems with smooth and nonlinear data-driven collective variables.Multilevel hierarchical kernel spectral clustering for real-life large scale complex networks.Anatomically Detailed and Large-Scale Simulations Studying Synapse Loss and Synchrony Using NeuroBox.Clustering Scientific Publications Based on Citation Relations: A Systematic Comparison of Different MethodsGraph mining for next generation sequencing: leveraging the assembly graph for biological insights.Developing Subdomain Allocation Algorithms Based on Spatial and Communicational Constraints to Accelerate Dust Storm Simulation.Trade-offs between driving nodes and time-to-control in complex networks.Graph-Based Consensus Clustering for Combining Multiple Clusterings of Chemical Structures.Information Theory and Voting Based Consensus Clustering for Combining Multiple Clusterings of Chemical Structures.Charting molecular free-energy landscapes with an atlas of collective variables.Graph coarse-graining reveals differences in the module-level structure of functional brain networks.A Multi-Objective Partition Method for Marine Sensor Networks Based on Degree of Event Correlation.Vertex Separators for Partitioning a Graph.A survey of the parallel performance and accuracy of Poisson solvers for electronic structure calculations.GA-Based Membrane Evolutionary Algorithm for Ensemble Clustering.PDE constrained optimization of electrical defibrillation in a 3D ventricular slice geometry.Shift-and-invert parallel spectral transformation eigensolver: Massively parallel performance for density-functional based tight-binding.Fully automated implementation of the incremental scheme: application to CCSD energies for hydrocarbons and transition metal compounds.Application of supernodal sparse factorization and inversion to the estimation of (co)variance components by residual maximum likelihood.A multilevel memetic algorithm for large SAT-encoded problems.All-electron time-dependent density functional theory with finite elements: time-propagation approach.Domain-decomposition method for parallel lattice Boltzmann simulation of incompressible flow in porous media.Identifying graph clusters using variational inference and links to covariance parametrization.Finding a better immunization strategy.Hierarchical community detection via rank-2 symmetric nonnegative matrix factorization.Graph-based linear scaling electronic structure theory.Customizable Contraction Hierarchies
P2860
Q27324925-903C7CDF-5036-49A8-BDFF-F6FA81D114B0Q27332077-E98A44E8-CFB3-472A-AD80-78603615AB10Q28353933-670BEEC3-401F-4E8F-928F-3AF5B36DAF2AQ30367522-FE9CEA3E-FA84-4557-908A-76C455DFCF28Q30623109-AD07CDD6-14D0-49BF-A9A5-6A4C6CE5C47EQ30895756-339D3C8B-8C10-451B-9734-17CC68943960Q30895940-6CB33A5E-D680-4469-80DB-B49154E44F0BQ31045538-1F17CC6B-8B42-4611-9364-9861A38204EEQ33655056-410AA1FA-6412-40D4-8C85-AB2728E1FEC6Q33692095-920A7779-26B2-4A37-8AC8-FC25E262809AQ33752952-FDAB1196-348A-47EB-9757-792779706017Q34152590-9B6E4801-CD3E-4832-A2B3-58B39A926566Q35022283-6D72ED38-BB0F-4EC1-AB04-2AF65B986217Q35062703-022BDEB9-97C8-4334-814E-3A94D1612635Q35192128-43010679-185E-4970-B05B-2CAE3C68BD15Q35931868-C82FFBF1-18B5-461A-B9F2-77AF62169FD7Q36002043-C1016626-4721-43B6-B1EE-9E707DF4A297Q36011256-E5DA47BD-A387-4BDB-B52C-38D110B82739Q36763750-737418BF-239E-485E-9F82-5ECE822C5071Q37561113-4B05D7D7-3CB5-4574-B1CC-A6E419548394Q39200500-8E6DB79B-7FCD-4F62-BF21-4CE8BF02B7FDQ39200511-BB9C4018-E73B-4494-965C-40D880685652Q39204260-C404A778-6F81-481A-BB34-AD8288339BB2Q39414652-D2E2AC7F-C262-42AB-8E5A-6F58E0FD18A8Q41925044-A74150EB-6044-45DF-9D05-B3656FCB583EQ41962181-8D899818-81D6-4286-B4D9-9CA9AEBF8929Q46409130-E520C313-8B82-4054-8AAD-D973AA30E2BAQ47559150-CD24701B-7C00-4B36-B2C9-BF399DB50EABQ48149478-D7499753-506F-4012-B1B5-0118BD3A523CQ50207164-1F3327B2-CBAF-4359-BD67-7586F6525FFEQ50303900-B173F611-E30B-4ABC-94EC-33DCF372E72AQ50800903-50AC6C9E-A891-4ED9-9527-2C342111E5FEQ51374043-82BED41F-4D3B-47AE-AD25-58318EDA874EQ51510577-0743D863-A324-4C4F-A242-739397A331DFQ51633026-75E5F62C-64C3-4382-8D64-910CC2C58410Q51787295-59005CF8-856D-4375-9D8C-867CAE3F714AQ51870274-527E806B-E669-4D7D-BF12-D583700F051DQ52741024-FA5A0387-9108-4B8E-97A9-4981ECE9BA0FQ53033892-A8B1BF8B-A140-49B5-B76A-F0EE67C86433Q56609663-62BF922E-C0DC-4B5E-819F-227D997FCA31
P2860
A Fast and High Quality Multilevel Scheme for Partitioning Irregular Graphs
description
1998 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
1998 թվականի հունվարին հրատարակված գիտական հոդված
@hy
artikull shkencor
@sq
artículu científicu espublizáu en 1998
@ast
im Januar 1998 veröffentlichter wissenschaftlicher Artikel
@de
scientific article (publication date: 1998)
@en
wetenschappelijk artikel
@nl
наукова стаття, опублікована в січні 1998
@uk
مقالة علمية (نشرت عام 1998)
@ar
name
A Fast and High Quality Multilevel Scheme for Partitioning Irregular Graphs
@ast
A Fast and High Quality Multilevel Scheme for Partitioning Irregular Graphs
@en
type
label
A Fast and High Quality Multilevel Scheme for Partitioning Irregular Graphs
@ast
A Fast and High Quality Multilevel Scheme for Partitioning Irregular Graphs
@en
prefLabel
A Fast and High Quality Multilevel Scheme for Partitioning Irregular Graphs
@ast
A Fast and High Quality Multilevel Scheme for Partitioning Irregular Graphs
@en
P3181
P1476
A Fast and High Quality Multilevel Scheme for Partitioning Irregular Graphs
@en
P2093
George Karypis
Vipin Kumar
P304
P3181
P356
10.1137/S1064827595287997
P577
1998-01-01T00:00:00Z