Results 201 to 210 of about 88,228 (240)
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Contrastive Graph Convolutional Networks With Generative Adjacency Matrix

IEEE Transactions on Signal Processing, 2023
Semi-supervised node classification with Graph Convolutional Network (GCN) is an attractive topic in social media analysis and applications. Recent studies show that GCN-based classification methods can facilitate the accuracy increase of learning ...
Luying Zhong   +3 more
semanticscholar   +1 more source

The generalized adjacency-distance matrix of connected graphs

Linear and multilinear algebra, 2023
Let G be a connected graph with adjacency matrix $ A(G) $ A(G) and distance matrix $ \mathcal {D}(G) $ D(G). The adjacency-distance matrix of G is defined as $ S(G) = \mathcal {D}(G) + A(G) $ S(G)=D(G)+A(G). In this paper, $ S(G) $ S(G) is generalized by
G. Pastén, O. Rojo, Steve Butler
semanticscholar   +1 more source

Arc Adjacency Matrix-Based Fast Ellipse Detection

IEEE Transactions on Image Processing, 2020
Fast and accurate ellipse detection is critical in certain computer vision tasks. In this paper, we propose an arc adjacency matrix-based ellipse detection (AAMED) method to fulfill this requirement.
Cai Meng, Zhaoxi Li, X. Bai, F. Zhou
semanticscholar   +1 more source

Pairwise Adjacency Matrix on Spatial Temporal Graph Convolution Network for Skeleton-Based Two-Person Interaction Recognition

International Conference on Information Photonics, 2020
Spatial-temporal graph convolutional networks (ST-GCN) have achieved outstanding performances on human action recognition, however, it might be less superior on a two-person interaction recognition (TPIR) task due to the relationship of each skeleton is ...
Chao-Lung Yang   +3 more
semanticscholar   +1 more source

An adaptive adjacency matrix-based graph convolutional recurrent network for air quality prediction

Scientific Reports
In 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.
Quanchao Chen   +5 more
semanticscholar   +1 more source

Bounds for the spectral radius and energy of extended adjacency matrix of graphs

Linear and multilinear algebra, 2019
An extend adjacency matrix of a graph ( ) was introduced decades ago as a precursor for developing a few quite useful molecular topological descriptors. The spectral radius ( ) of the extended adjacency matrix and the extended energy of a graph ( ) have ...
Zhao Wang   +3 more
semanticscholar   +1 more source

Two new topological indices based on graph adjacency matrix eigenvalues and eigenvectors

Journal of Mathematical Chemistry, 2019
The Estrada topological index EE, based on the eigenvalues of the adjacency matrix, is degenerate for cospectral graphs. By additionally considering the eigenvectors, two new topological indices are devised, which have reduced degeneracy for alkanes or ...
J. A. Rodríguez-Velázquez, A. Balaban
semanticscholar   +1 more source

The Adjacency Matrix and the Discrete Laplacian Acting on Forms

Mathematical physics, analysis and geometry, 2015
We complete the understanding of the question of the essential self-adjoitness and non-essential self-adjointness of the discrete Laplacian acting on 1-forms. We also discuss the notion of completeness.
H. Baloudi, S. Golénia, A. Jeribi
semanticscholar   +1 more source

Inverse of α−Hermitian Adjacency Matrix of Mixed Tree Graphs

open access: closed, 2022
Mohammad Abudayah   +2 more
openalex   +1 more source

On the eigenvalue and energy of extended adjacency matrix

Applied Mathematics and Computation, 2021
M. Ghorbani   +3 more
semanticscholar   +1 more source

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