Results 121 to 130 of about 3,864 (298)

Partitions of Vertices and Facets in Trees and Stacked Simplicial Complexes [PDF]

open access: yes
For stacked simplicial complexes, (special subclasses of such are: trees, triangulations of polygons, stacked polytopes with their triangulations), we give an explicit bijection between partitions of facets (for trees: edges), and partitions of vertices ...
Fløystad, Gunnar
core   +1 more source

2K2 vertex-set partition into nonempty parts

open access: yesElectronic Notes in Discrete Mathematics, 2008
Abstract A graph is 2K2-partitionable if its vertex set can be partitioned into four nonempty parts A, B, C, D such that each vertex of A is adjacent to each vertex of B, and each vertex of C is adjacent to each vertex of D. Determining whether an arbitrary graph is 2K2-partitionable is the only vertex-set partition problem into four nonempty parts ...
Simone Dantas   +4 more
openaire   +1 more source

Brown Adipocyte Sheets Alleviate Myocardial Ischemia–Reperfusion Injury Through NRG4–ErbB4–Dependent Ferroptosis Inhibition

open access: yesAdvanced Science, EarlyView.
Brown adipocyte sheets are engineered to protect the heart against myocardial ischemia–reperfusion injury by restraining ferroptosis. Upon transplantation onto the cardiac surface, they improve cardiac function, limit infarction and fibrosis, and enhance angiogenesis.
Lifu Sun   +6 more
wiley   +1 more source

Multi-Level Refinement Algorithm of Weighted Hypergraph Partitioning Problem

open access: yesJournal of Intelligent Systems, 2017
The formal description of weighted hypergraph partitioning problem is presented. We describe the solution of the weighted hypergraph partitioning problem based on the multi-level method.
Leng Ming, Sun Ling-yu, Guo Kai-qiang
doaj   +1 more source

A note on the computational complexity of graph vertex partition

open access: yesDiscrete Applied Mathematics, 2007
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yuanqiu Huang, Yuming Chu
openaire   +2 more sources

STAID: A Self‐Refining Deep Learning Framework for Spatial Cell‐Type Deconvolution with Biologically Informed Modeling

open access: yesAdvanced Science, EarlyView.
STAID is a unified deep learning framework that couples iterative pseudo‐spot refinement with neural network training through a feedback loop and exploits gene co‐expression information to model higher‐order interactions, achieving accurate and robust cell‐type deconvolution in spatial transcriptomics.
Jixin Liu   +5 more
wiley   +1 more source

On the Biplanarity of Blowups

open access: yesJournal of Graph Algorithms and Applications
The 2-blowup of a graph is obtained by replacing each vertex with two non-adjacent copies; a graph is biplanar if it is the union of two planar graphs. We disprove a conjecture of Gethner that 2-blowups of planar graphs are biplanar: iterated Kleetopes ...
David Eppstein
doaj   +1 more source

Making Sweat Measurable: Induction, Sampling, and Refreshment in Wearable Biofluid Sensing

open access: yesAdvanced Science, EarlyView.
Wearable sweat sensing relies not only on chemical detection but also on controlled biofluid management. This Review integrates sweat physiology, induction strategies, and microfluidic sampling architectures, demonstrating how flux, transport, and refreshment shape measurement reliability.
Soyoung Shin, Wei Gao
wiley   +1 more source

Quasi-randomness and algorithmic regularity for graphs with general degree distributions [PDF]

open access: yes, 2010
We deal with two intimately related subjects: quasi-randomness and regular partitions. The purpose of the concept of quasi-randomness is to express how much a given graph “resembles” a random one.
Schacht, Mathias   +5 more
core   +1 more source

Topology‐Aware Deep Learning on Higher‐Order Structures for Drug Response Prediction

open access: yesAdvanced Science, EarlyView.
We present TopDr, a topology‐aware deep learning framework that encodes both drugs and cell lines as multiscale simplicial complexes, capturing interactions at the 0‐, 1‐, and 2‐simplex levels. By jointly integrating local higher‐order neighborhoods and global topological structures, TopDr generates enriched representations for sensitivity prediction ...
Cong Shen   +3 more
wiley   +1 more source

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