Interlacing Properties of Eigenvalues of Laplacian and Net-Laplacian Matrix of Signed Graphs
This paper explores interlacing inequalities in the Laplacian spectrum of signed cycles and investigates interlacing relationship between the spectrum of the net-Laplacian of a signed graph and its subgraph formed by removing a vertex together with its incident edges.
Satyam Guragain, Ravi Srivastava
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Permanent of the laplacian matrix of trees with a given matching
AbstractWe define the Laplacian ratio of a tree π(T), to be the permanent of the Laplacian matrix of T divided by the product of the degrees of the vertices. Best possible lower and upper bounds are obtained for π(T) in terms of the size of the largest matching in T.
John Goldwasser
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A note on a conjecture for the distance Laplacian matrix
In this note, the graphs of order n having the largest distance Laplacian eigenvalue of multiplicity n â2 are characterized. In particular, it is shown that if the largest eigenvalue of the distance Laplacian matrix of a connected graph G of order n has multiplicity n â 2, then G = S_n or G = K_(p,p), where n = 2p.
Celso M. da Silva+2 more
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The spectra of the adjacency matrix and Laplacian matrix for some balanced trees
AbstractLet T be an unweighted rooted tree of k levels such that in each level the vertices have equal degree. Let dk−j+1 denotes the degree of the vertices in the level j. We find the eigenvalues of the adjacency matrix and of the Laplacian matrix of T. They are the eigenvalues of principal submatrices of two nonnegative symmetric tridiagonal matrices
Óscar Rojo, Ricardo L. Soto
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Drug-Target Interaction Prediction via Dual Laplacian Graph Regularized Matrix Completion [PDF]
Drug-target interactions play an important role for biomedical drug discovery and development. However, it is expensive and time-consuming to accomplish this task by experimental determination.
Minhui Wang, Chang Tang, Jiajia Chen
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A Quantum Algorithm for Solving Eigenproblem of the Laplacian Matrix of a Fully Connected Weighted Graph [PDF]
Solving eigenproblem of the Laplacian matrix of a fully connected weighted graph has wide applications in data science, machine learning, and image processing, etc. However, this is very challenging because it involves expensive matrix operations.
Hailing Liu+6 more
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On Laplacian resolvent energy of graphs [PDF]
Let $G$ be a simple connected graph of order $n$ and size $m$. The matrix $L(G)=D(G)-A(G)$ is the Laplacian matrix of $G$, where $D(G)$ and $A(G)$ are the degree diagonal matrix and the adjacency matrix, respectively. For the graph $G$, let $d_{1}\geq d_{
Sandeep Bhatnagar+2 more
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Multi-View Spectral Clustering With High-Order Optimal Neighborhood Laplacian Matrix [PDF]
Multi-view spectral clustering can effectively reveal the intrinsic clustering structure among data by performing clustering on the learned optimal embedding across views.
Weixuan Liang+7 more
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Oversampled Graph Laplacian Matrix for Graph Filter Banks [PDF]
Akie Sakiyama, Yuichi Tanaka
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On singularity and properties of eigenvectors of complex Laplacian matrix of multidigraphs
In this article, we associate a Hermitian matrix to a multidigraph G. We call it the complex Laplacian matrix of G and denote it by [Formula: see text]. It is shown that the complex Laplacian matrix is a generalization of the Laplacian matrix of a graph.
Sasmita Barik+2 more
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