On the Adjacency Matrix of RyR2 Cluster Structures. [PDF]
PLoS Comput Biol, 2015 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
Clustering Based on Eigenvectors of the Adjacency Matrix
International Journal of Applied Mathematics and Computer Science, 2018 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
doaj +3 more sources
Enhanced Adjacency Matrix-Based Lightweight Graph Convolution Network for Action Recognition. [PDF]
Sensors (Basel), 2023 Graph convolutional networks (GCNs), which extend convolutional neural networks (CNNs) to non-Euclidean structures, have been utilized to promote skeleton-based human action recognition research and have made substantial progress in doing so.
Zhang D, Deng H, Zhi Y.
europepmc +2 more sources
Laplacian versus Adjacency Matrix in Quantum Walk Search [PDF]
Quantum Information Processing, 2016 A quantum particle evolving by Schr\"odinger's equation contains, from the kinetic energy of the particle, a term in its Hamiltonian proportional to Laplace's operator.
Nahimov, Nikolay +2 more
core +5 more sources
The Maximum Eigenvalue of the Brain Functional Network Adjacency Matrix: Meaning and Application in Mental Fatigue Evaluation. [PDF]
Brain Sci, 2020 The maximum eigenvalue of the adjacency matrix (AM) has been supposed to contain rich information about the corresponding network. An experimental study focused on revealing the meaning and application of the maximum eigenvalue is missing.
Li G +7 more
europepmc +2 more sources
An adaptive adjacency matrix-based graph convolutional recurrent network for air quality prediction. [PDF]
Sci RepIn recent years, air pollution has become increasingly serious and poses a great threat to human health. Timely and accurate air quality prediction is crucial for air pollution early warning and control.
Chen Q +5 more
europepmc +2 more sources
Exploring ordered patterns in the adjacency matrix for improving machine learning on complex networks [PDF]
Social Science Research Network, 2023 The use of complex networks as a modern approach to understanding the world and its dynamics is well-established in literature. The adjacency matrix, which provides a one-to-one representation of a complex network, can also yield several metrics of the ...
Mariane Barros Neiva +1 more
openalex +3 more sources
Multivariate Fence: Using Parallel Coordinates to Locate and Compare Attributes of Adjacency Matrix Nodes in Immersive Environment [PDF]
Applied Sciences, 2022 Adjacency matrix visualization is a common method for presenting graph data, and the Focus+Context technique can be used to explore the details of the ROI (region of interest).
Tiemeng Li +3 more
doaj +2 more sources
The Optimal Graph Whose Least Eigenvalue is Minimal among All Graphs via 1-2 Adjacency Matrix [PDF]
Journal of Mathematics, 2021 All graphs under consideration are finite, simple, connected, and undirected. Adjacency matrix of a graph G is 0,1 matrix A=aij=0, if vi=vj or dvi,vj≥21, if dvi,vj=1.. Here in this paper, we discussed new type of adjacency matrix known by 1-2 adjacency
Lubna Gul +3 more
doaj +2 more sources
Graph Compression for Adjacency-Matrix Multiplication
SN Computer Science, 2022 AbstractComputing the product of the (binary) adjacency matrix of a large graph with a real-valued vector is an important operation that lies at the heart of various graph analysis tasks, such as computing PageRank. In this paper, we show that some well-known webgraph and social graph compression formats are computation-friendly, in the sense that they
Alexandre P. Francisco +4 more
openaire +3 more sources