Results 81 to 90 of about 5,903,622 (201)
Non symmetric random walk on infinite graph [PDF]
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
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Revised chapter for new edition of book "The Mathematics of Paul Erd\H{o}s"
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Random Regular Graph States Are Complex at Almost Any Depth
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
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On the Edge-Connectivity of an Uncertain Random Graph
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
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Subgraphs of random graphs [PDF]
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
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Heterogeneous Graph Neural Network
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
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Network Motifs: Mean and Variance for the Count
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
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Treewidth of Erdős–Rényi random graphs, random intersection graphs, and scale-free random graphs
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.
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Special Generation of Random Graphs and Statistical Study of Some of Their Invariants
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
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Toward Reliability of Long Wireless Sensor Networks
Wireless sensor networks have become pervasive in various applications, including environmental monitoring, smart cities, precision agriculture, and healthcare.
Vladimir V. Shakhov +4 more
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