Applications of Spectral Graph Theory in Machine Learning and Data Science [PDF]
Ramana KVM, R Shireesha
openalex +1 more source
Graph Entropy of Some Special Chemical Graphs
مجلة بغداد للعلومChemical graph theory plays an important role in modelling molecules, especially examining physico-chemical properties of the chemical compounds. Alkanes are one of the chemical compounds which are made up of hydrogen and carbon atoms, generally known ...
B. I. Andrew, A Anuradha
doaj +1 more source
High-energy behavior of gauge theory tree graphs
, 1972 J. Schechter, Yuki Ueda
openalex +2 more sources
A novel algebraic technique for adjacency matrices of some derived graphs
Mathematical and Computer Modelling of Dynamical SystemsGraph energy has been the main concern of spectral graph theory in the last five decades. The classical graph energy is the sum of the absolute values of the eigenvalues of the adjacency matrix. In many research papers, different versions of graph energy
Hacer Ozden Ayna +5 more
doaj +1 more source
Neutrosophic Graphs: A New Dimension To Graph Theory
, 2015 W. B. Vasantha Kandasamy +2 more
openalex +2 more sources
Good versus optimal: Why network analytic methods need more systematic evaluation
Open Computer Science, 2011 Zweig Katharina
doaj +1 more source
GaTewAY : Graph theory-based software for automatic analysis of molecular conformers generated over time [PDF]
, 2022 Sana Bougueroua +3 more
openalex +1 more source
Systemic Risk in Energy Derivative Markets: A Graph-Theory Analysis
, 2011 Delphine Lautier, Franck Raynaud
openalex +1 more source
P1‐418: INDIVIDUAL‐BASED NETWORK ANALYSIS: A NOVEL APPROACH TO INVESTIGATE THE PATHOLOGICAL SPREAD OF PHF TAU USING GRAPH THEORY IN CLINICAL AND PRECLINICAL STAGES OF ALZHEIMER'S DISEASE [PDF]
, 2019 Hillary Protas +16 more
openalex +1 more source