Results 251 to 260 of about 29,241 (278)

Uncovering the structural influence of urban park landscapes on psychological restoration via graph learning. [PDF]

Sci Rep
Zhang Y, Li Y, Yin Y, Jin Y, Sun G.
europepmc   +1 more source

KGR-SKATER: Spatially clustered kernel graph regression for counting processes. [PDF]

PLoS One
Wu J, Peters GW, Franks A.
europepmc   +1 more source

Youth perceptions of urban waterfront environments for stress relief: a social media text analysis study in Beijing. [PDF]

Front Public Health
Li Z, Binti Hussain N, Mohd Yunos MY.
europepmc   +1 more source

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

Polycyclic Aromatic Compounds, 2022
Discovering a vaccine with reliable and effective treatment for the new corona virus disease 2019 (COVID-19) is indeed a long way off, and there seems to be a critical need to research additional viable medications that could save countless lives in the ...
Yogesh Singh, Hassan Raza, Sunny Kumar Sharma, Vijay Kumar Bhat   +3 more
openaire   +2 more sources

Topological graph dimension

Discrete Mathematics, 2010
In the invited chapter Discrete Spatial Models of the book Handbook of Spatial Logics, we have introduced the concept of dimension for graphs, which is inspired by Evako’s idea of dimension of graphs [A.V. Evako, R. Kopperman, Y.V.
Michael B Smyth, Iain Stewart
exaly   +2 more sources

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Graph-Theory-Based Molecular Fragmentation for Efficient and Accurate Potential Surface Calculations in Multiple Dimensions

Journal of Chemical Theory and Computation, 2021
We present a multitopology molecular fragmentation approach, based on graph theory, to calculate multidimensional potential energy surfaces in agreement with post-Hartree-Fock levels of theory but at the density functional theory cost. A molecular assembly is coarse-grained into a set of graph-theoretic nodes that are then connected with edges to ...
Anup Kumar, Nicole DeGregorio, Srinivasan S. Iyengar   +2 more
openaire   +2 more sources

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

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.
M. Paoli, W. T. Trotter, J. W. Walker
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Compilation of two-point and four-point graphs in field theory in noninteger dimensions

Journal of Mathematical Physics, 1994
Two-point and four-point graphs appearing in a three-loop approximation in the field theory renormalization group scheme are calculated in general dimensions. Combining Feynman parameterization and direct integration loop integrals are represented in the form of the expressions, depending on the space dimension d as a parameter.
Holovatch, Yu., Krokhmal's'kii, T.
openaire   +2 more sources