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The anti-adjacency matrix of a graph: Eccentricity matrix
In this paper we introduce a new graph matrix, named the anti-adjacency matrix or eccentricity matrix, which is constructed from the distance matrix of a graph by keeping for each row and each column only the largest distances.
Mei Lu +2 more
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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
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On two problems related to anti-adjacency (eccentricity) matrix
Discrete Applied Mathematics, 2023Håkan Küçük
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A note on eigenvalue, spectral radius and energy of extended adjacency matrix
Discrete Applied Mathematics, 2022Modjtaba Ghorbani, Najaf Amraei
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On the eigenvalue and energy of extended adjacency matrix
Applied Mathematics and Computation, 2021Modjtaba Ghorbani +2 more
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DAGCRN: Graph convolutional recurrent network for traffic forecasting with dynamic adjacency matrix
Expert Systems With Applications, 2023Jiahu Qin, Hui Yin, Jingping Wang
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On the structure of the adjacency matrix of the line digraph of a regular digraph
Discrete Applied Mathematics, 2006Simone Severini
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On spectral radius and energy of extended adjacency matrix of graphs
Applied Mathematics and Computation, 2017Ivan Gutman +2 more
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