Results 51 to 60 of about 11,596 (195)

Hypergraph expanders of all uniformities from Cayley graphs [PDF]

open access: yes
Hypergraph expanders are hypergraphs with surprising, non-intuitive expansion properties. In a recent paper, the first author gave a simple construction, which can be randomized, of $3$-uniform hypergraph expanders with polylogarithmic degree.
Conlon, David   +2 more
core   +1 more source

Orientations of Graphs With at Most One Directed Path Between Every Pair of Vertices

open access: yesJournal of Graph Theory, EarlyView.
ABSTRACT Given a graph G $G$, we say that an orientation D $D$ of G $G$ is a KT orientation if, for all u , v ∈ V ( D ) $u,v\in V(D)$, there is at most one directed path (in any direction) between u $u$ and v $v$. Graphs that admit such orientations have been used to construct graphs with large chromatic number and small clique number that served as ...
Barbora Dohnalová   +3 more
wiley   +1 more source

The Wiener index, degree distance index and Gutman index of composite hypergraphs and sunflower hypergraphs

open access: yesHeliyon, 2022
Topological invariants are numerical parameters of graphs or hypergraphs that indicate its topology and are known as graph or hypergraph invariants. In this paper, topological indices of hypergraphs such as Wiener index, degree distance index and Gutman ...
Sakina Ashraf   +3 more
doaj   +1 more source

An Extended Formulation With Valid Inequalities for the Capacitated Steiner Arborescence Problem

open access: yesNetworks, EarlyView.
ABSTRACT Given a directed graph, the Capacitated Steiner Arborescence Problem (CSAP) aims to determine the least‐cost connection from the root node to terminal nodes requiring a demand through Steiner nodes coming with a capacity, such that there is a unique path from the root to each terminal. This paper presents a new extended formulation of the CSAP,
Francesco Contu   +3 more
wiley   +1 more source

Recognizing the P_4-structure of claw-free graphs and a larger graph class [PDF]

open access: yesDiscrete Mathematics & Theoretical Computer Science, 2002
The P_4-structure of a graph G is a hypergraph \textbfH on the same vertex set such that four vertices form a hyperedge in \textbfH whenever they induce a P_4 in G.
Luitpold Babel   +2 more
doaj   +1 more source

The Evolution of Cooperation in Multigames with Uniform Random Hypergraphs

open access: yesMathematics, 2023
How to explain the emergence of cooperative behavior remains a significant problem. As players may hold diverse perceptions on a particular dilemma, the concept of multigames has been introduced.
Haozheng Xu   +4 more
doaj   +1 more source

The minimum vertex degree for an almost-spanning tight cycle in a $3$-uniform hypergraph [PDF]

open access: yes
We prove that any $3$-uniform hypergraph whose minimum vertex degree is at least $\left(\frac{5}{9} + o(1) \right)\binom{n}{2}$ admits an almost-spanning tight cycle, that is, a tight cycle leaving $o(n)$ vertices uncovered.
Cooley, Oliver, Mycroft, Richard
core   +1 more source

CLusterix: A Hybrid Visualization Model for Hierarchically Clustered Networks

open access: yesComputer Graphics Forum, EarlyView.
Abstract We introduce Clusterix, a novel hybrid visualization model for representing hierarchically clustered networks, which also supports directed and weighted edges. Clusterix offers an integrated view of both the network and its full cluster hierarchy by compactly visualizing the cluster inclusion tree enriched with links of the network.
Carla Binucci   +6 more
wiley   +1 more source

Autoregressive Hypergraph

open access: yesJournal of Time Series Analysis, EarlyView.
ABSTRACT Traditional graph representations are insufficient for modelling real‐world phenomena involving multi‐entity interactions, such as collaborative projects or protein complexes, necessitating the use of hypergraphs. While hypergraphs preserve the intrinsic nature of such complex relationships, existing models often overlook temporal evolution in
Xianghe Zhu, Qiwei Yao
wiley   +1 more source

GBT‐SAM: A Parameter‐Efficient Depth‐Aware Model for Generalizable Brain Tumor Segmentation on mp‐MRI

open access: yesInternational Journal of Imaging Systems and Technology, Volume 36, Issue 4, July 2026.
ABSTRACT Gliomas are aggressive brain tumors that require accurate imaging‐based diagnosis, where automated segmentation plays a central role in assessing tumor morphology and guiding treatment decisions. Manual delineation of gliomas is time‐consuming and prone to variability, motivating the use of deep learning to improve consistency and alleviate ...
Cecilia Diana‐Albelda   +4 more
wiley   +1 more source

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