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Dynamic Correlation Adjacency-Matrix-Based Graph Neural Networks for Traffic Flow Prediction [PDF]
Modeling complex spatial and temporal dependencies in multivariate time series data is crucial for traffic forecasting. Graph convolutional networks have proved to be effective in predicting multivariate time series. Although a predefined graph structure
Junhua Gu, Taotao Cai, Xiangyu Song
exaly +4 more sources
The gamma-Signless Laplacian Adjacency Matrix of Mixed Graphs [PDF]
The α-Hermitian adjacency matrix Hα of a mixed graph X has been recently introduced. It is a generalization of the adjacency matrix of unoriented graphs. In this paper, we consider a special case of the complex number α.
Omar Alomari +2 more
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On the Adjacency Matrix of RyR2 Cluster Structures. [PDF]
In the heart, electrical stimulation of cardiac myocytes increases the open probability of sarcolemmal voltage-sensitive Ca2+ channels and flux of Ca2+ into the cells. This increases Ca2+ binding to ligand-gated channels known as ryanodine receptors (RyR2).
Walker MA +5 more
europepmc +8 more sources
Adjacency Matrix of a Semigraph
Abstract Semigraph was defined by Sampathkumar as a generalization of a graph. In this paper the adjacency matrix which represents semigraph uniquely and a characterization of such a matrix is obtained. An algorithm to construct the semigraph from a given square matrix, if semigraphical is given.
Y. S. Gaidhani +2 more
exaly +3 more sources
Clustering Based on Eigenvectors of the Adjacency Matrix
The paper presents a novel spectral algorithm EVSA (eigenvector structure analysis), which uses eigenvalues and eigenvectors of the adjacency matrix in order to discover clusters.
Lucińska Małgorzata +1 more
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General Zagreb adjacency matrix [PDF]
Zhen Lin
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Relationship between adjacency and distance matrix of graph of diameter two
The relationship among every pair of vertices in a graph can be represented as a matrix, such as in adjacency matrix and distance matrix. Both adjacency and distance matrices have the same property.
Siti L. Chasanah +3 more
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Rank-GCN for Robust Action Recognition
We present a robust skeleton-based action recognition method with graph convolutional network (GCN) that uses the new adjacency matrix, called Rank-GCN. In Rank-GCN, the biggest change from previous approaches is how the adjacency matrix is generated to ...
Haetsal Lee +3 more
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Anti-Adjacency Matrices of Certain Graphs Derived from Some Graph Operations
If we go through the literature, one can find many matrices that are derived for a given simple graph. The one among them is the anti-adjacency matrix which is given as follows; The anti-adjacency matrix of a simple undirected graph $G$ with vertex set
Manju V N, Athul T B, Suresh Singh G
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Some New Bounds for α-Adjacency Energy of Graphs
Let G be a graph with the adjacency matrix A(G), and let D(G) be the diagonal matrix of the degrees of G. Nikiforov first defined the matrix Aα(G) as Aα(G)=αD(G)+(1−α)A(G), 0≤α≤1, which shed new light on A(G) and Q(G)=D(G)+A(G), and yielded some ...
Haixia Zhang, Zhuolin Zhang
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