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Contrastive Graph Convolutional Networks With Generative Adjacency Matrix
IEEE Transactions on Signal Processing, 2023Semi-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
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The generalized adjacency-distance matrix of connected graphs
Linear and multilinear algebra, 2023Let 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
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Arc Adjacency Matrix-Based Fast Ellipse Detection
IEEE Transactions on Image Processing, 2020Fast 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
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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
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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
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An adaptive adjacency matrix-based graph convolutional recurrent network for air quality prediction
Scientific ReportsIn 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
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Bounds for the spectral radius and energy of extended adjacency matrix of graphs
Linear and multilinear algebra, 2019An 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
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Two new topological indices based on graph adjacency matrix eigenvalues and eigenvectors
Journal of Mathematical Chemistry, 2019The 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
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The Adjacency Matrix and the Discrete Laplacian Acting on Forms
Mathematical physics, analysis and geometry, 2015We 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
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Inverse of α−Hermitian Adjacency Matrix of Mixed Tree Graphs
Mohammad Abudayah +2 more
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On the eigenvalue and energy of extended adjacency matrix
Applied Mathematics and Computation, 2021M. Ghorbani +3 more
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