Results 81 to 90 of about 5,903,622 (201)

Non symmetric random walk on infinite graph [PDF]

open access: yesOpuscula Mathematica, 2011
We investigate properties of a non symmetric Markov's chain on an infinite graph. We show the connection with matrix valued random walk polynomials which satisfy the orthogonality formula with respect to non a symmetric matrix valued measure.
Marcin J. Zygmunt
doaj   +1 more source

The Random Graph

open access: yes, 1997
Revised chapter for new edition of book "The Mathematics of Paul Erd\H{o}s"
openaire   +2 more sources

Random Regular Graph States Are Complex at Almost Any Depth

open access: yesPRX Quantum
Graph states are fundamental objects in the theory of quantum information due to their simple classical description and rich entanglement structure. They are also intimately related to instantaneous quantum polynomial-time (IQP) circuits, which have ...
Soumik Ghosh   +2 more
doaj   +1 more source

On the Edge-Connectivity of an Uncertain Random Graph

open access: yesIEEE Access, 2020
Connectivity is one of the most important concepts in graph theory. When graph theory is applied to complex systems with indeterminate factors, uncertainty and randomness are two basic types of indeterminacy.
Hao Li, Hui Zhang
doaj   +1 more source

Subgraphs of random graphs [PDF]

open access: yesTransactions of the American Mathematical Society, 1985
Let Δ ⊆ [ ω ] 2 \Delta \subseteq {[\omega ]^2} be an undirected graph on ω \omega , and let u ∈ [ 0 , 1 ] u \in [0,\,1] . Following P. Erdös and A.
Fremlin, David H., Talagrand, Michel
openaire   +1 more source

Heterogeneous Graph Neural Network

open access: yesKnowledge Discovery and Data Mining, 2019
Representation learning in heterogeneous graphs aims to pursue a meaningful vector representation for each node so as to facilitate downstream applications such as link prediction, personalized recommendation, node classification, etc. This task, however,
Chuxu Zhang   +4 more
semanticscholar   +1 more source

Network Motifs: Mean and Variance for the Count

open access: yesRevstat Statistical Journal, 2006
Network motifs are at the core of modern studies on biological networks, trying to encompass global features such as small-world or scale-free properties. Detection of significant motifs may be based on two different approaches: either a comparison with
C. Matias   +4 more
doaj   +1 more source

Treewidth of Erdős–Rényi random graphs, random intersection graphs, and scale-free random graphs

open access: yesDiscrete Applied Mathematics, 2012
We prove that the treewidth of an Erd s-R nyi random graph $\rg{n, m}$ is, with high probability, greater than $ n$ for some constant $ > 0$ if the edge/vertex ratio $\frac{m}{n}$ is greater than 1.073. Our lower bound $\frac{m}{n} > 1.073$ improves the only previously-known lower bound.
openaire   +2 more sources

Special Generation of Random Graphs and Statistical Study of Some of Their Invariants

open access: yesMathematics
In this paper, we generate random graphs for a specific area, namely, models of real communication networks. We propose a method that determines the “best” invariant; the corresponding basic algorithm is as follows.
Boris Melnikov, Bowen Liu
doaj   +1 more source

Toward Reliability of Long Wireless Sensor Networks

open access: yesIEEE Access
Wireless sensor networks have become pervasive in various applications, including environmental monitoring, smart cities, precision agriculture, and healthcare.
Vladimir V. Shakhov   +4 more
doaj   +1 more source

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