Results 1 to 10 of about 176,464 (158)

On cospectrality of gain graphs

open access: yesSpecial Matrices, 2022
We define GG-cospectrality of two GG-gain graphs (Γ,ψ)\left(\Gamma ,\psi ) and (Γ′,ψ′)\left(\Gamma ^{\prime} ,\psi ^{\prime} ), proving that it is a switching isomorphism invariant.
Cavaleri Matteo, Donno Alfredo
doaj   +4 more sources

On two Laplacian matrices for skew gain graphs [PDF]

open access: yesElectronic Journal of Graph Theory and Applications, 2021
Gain graphs are graphs where the edges are given some orientation and labeled with the elements (called gains) from a group so that gains are inverted when we reverse the direction of the edges.
Roshni T. Roy   +2 more
doaj   +3 more sources

Line and Subdivision Graphs Determined by T 4 -Gain Graphs [PDF]

open access: yesMathematics, 2019
Let T 4 = { ± 1 , ± i } be the subgroup of fourth roots of unity inside T , the multiplicative group of complex units. For a T 4 -gain graph Φ = ( Γ , T 4 , φ ) , we introduce gain functions on ...
Abdullah Alazemi   +4 more
doaj   +2 more sources

Normalized Laplacians for gain graphs [PDF]

open access: yesThe American Journal of Combinatorics, 2022
We propose the notion of normalized Laplacian matrix \(\mathcal{L}(\Phi)\) for a gain graph \(\Phi\) and study its properties in detail, providing insights and counterexamples along the way. We establish bounds for the eigenvalues of \(\mathcal{L}(\Phi)\
M. Rajesh Kannan   +2 more
doaj   +4 more sources

Multi-Duplicated Characterization of Graph Structures Using Information Gain Ratio for Graph Neural Networks

open access: yesIEEE Access, 2023
Various graph neural networks (GNNs) have been proposed to solve node classification tasks in machine learning for graph data. GNNs use the structural information of graph data by aggregating the feature vectors of neighboring nodes.
Yuga Oishi, Ken Kaneiwa
doaj   +3 more sources

Eigenvalues of complex unit gain graphs and gain regularity

open access: yesSpecial Matrices
A complex unit gain graph (or T{\mathbb{T}}-gain graph) Γ=(G,γ)\Gamma =\left(G,\gamma ) is a gain graph with gains in T{\mathbb{T}}, the multiplicative group of complex units.
Brunetti Maurizio
doaj   +3 more sources

The rank of a complex unit gain graph in terms of the rank of its underlying graph [PDF]

open access: yesJournal of Combinatorial Optimization, 2019
Let $Φ=(G, φ)$ be a complex unit gain graph (or $\mathbb{T}$-gain graph) and $A(Φ)$ be its adjacency matrix, where $G$ is called the underlying graph of $Φ$. The rank of $Φ$, denoted by $r(Φ)$, is the rank of $A(Φ)$. Denote by $θ(G)=|E(G)|-|V(G)|+ω(G)$ the dimension of cycle spaces of $G$, where $|E(G)|$, $|V(G)|$ and $ω(G)$ are the number of edges ...
Ligong Wang   +2 more
exaly   +3 more sources

Characterizations of line graphs in signed and gain graphs [PDF]

open access: yesEuropean Journal of Combinatorics, 2022
We generalize three classical characterizations of line graphs to line graphs of signed and gain graphs: the Krausz's characterization, the van Rooij and Wilf's characterization and the Beineke's characterization. In particular, we present a list of forbidden gain subgraphs characterizing the class of gain-line graphs.
Matteo Cavaleri   +2 more
openaire   +3 more sources

Gain distance matrices for complex unit gain graphs

open access: yesDiscrete Mathematics, 2022
20 pages; 2 ...
Aniruddha Samanta, M. Rajesh Kannan
openaire   +5 more sources

Home - About - Disclaimer - Privacy