Results 281 to 290 of about 952,320 (325)
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Graphs and Orders in Ramsey Theory and in Dimension Theory

1985
The purpose of this paper is to present a concise and relatively self contained treatment of recent results linking partially ordered sets with topics more traditionally associated with graph theory and combinatorics: Ramsey theory and chromatic graph theory.
J. W. Walker   +2 more
openaire   +2 more sources

Near Rings, Fuzzy Ideals, and Graph Theory

, 2013
Near Rings, Fuzzy Ideals, and Graph Theory explores the relationship between near rings and fuzzy sets and between near rings and graph theory. It covers topics from recent literature along with several characterizations.
B. Satyanarayana, K. Prasad
semanticscholar   +1 more source

Local-Aggregation Graph Networks

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020
Convolutional neural networks (CNNs) provide a dramatically powerful class of models, but are subject to traditional convolution that can merely aggregate permutation-ordered and dimension-equal local inputs.
Jianlong Chang   +5 more
semanticscholar   +1 more source

On The (k,t)-Metric Dimension Of Graphs

Computer/law journal, 2020
Let $(X,d)$ be a metric space. A set $S\subseteq X$ is said to be a $k$-metric generator for $X$ if and only if for any pair of different points $u,v\in X$, there exist at least $k$ points $w_1,w_2, \ldots w_k\in S$ such that $d(u,w_i)\ne d(v,w_i ...
A. Estrada-Moreno   +2 more
semanticscholar   +1 more source

Dimension reduction for compositional data with weights based on graph theory

2022
A popular tool of dimension reduction in many statistical fields is principal component analysis (PCA). For the field of compositional data analysis (CoDA) weighting can be seen as a similar approach of dimension reduction as PCA. It is a desire to find those variables which explain a big part or even the majority of the variance of the whole data ...
openaire   +1 more source

The (generalized) orthogonality dimension of (generalized) kneser graphs: bounds and applications

Cybersecurity and Cyberforensics Conference, 2020
The orthogonality dimension of a graph G = (V, E) over a field F is the smallest integer t for which there exists an assignment of a vector uv ∈ Ft with ⟨uv, uv⟩ ≠ 0 to every vertex v ∈ V, such that ⟨uv, uv'⟩ = 0 whenever v and v' are adjacent vertices ...
Alexander Golovnev, I. Haviv
semanticscholar   +1 more source

Quantification of risk mitigation environment of supply chains using graph theory and matrix methods

, 2007
Today supply chains leverage their partner's competencies and in the process also inherit the risks associated with various links of a supply chain. Although it is impossible to completely eliminate various risks, an environment can be created which ...
M. Faisal, D. K. Banwet, R. Shankar
semanticscholar   +1 more source

DIMENSION GROUPS AND EMBEDDINGS OF GRAPH ALGEBRAS

, 1994
If Γ is a graph, with distinguished vertex *, let A(Γ) denote the non-commutative path algebra on the space of semi-infinite paths in Γ beginning at *. We discuss embeddings A(Γ1) → A(Γ2) of AF algebras associated with graphs Γ1 and Γ2 from a dimension ...
David E. Evans, J. Gould
semanticscholar   +1 more source

Computing Basis and Dimension of Chloroquine and Hydroxychloroquine by Using Chemical Graph Theory

Polycyclic Aromatic Compounds, 2022
Yogesh Singh   +3 more
openaire   +1 more source

Occlusal Vertical Dimension: Best Evidence Consensus Statement

Journal of Prosthodontics, 2021
Charles J Goodacre   +2 more
exaly  

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