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The anti-adjacency matrix of a graph: Eccentricity matrix

open access: yesDiscrete Applied Mathematics, 2018
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
exaly   +2 more sources

Dynamic Correlation Adjacency-Matrix-Based Graph Neural Networks for Traffic Flow Prediction [PDF]

open access: yesSensors, 2023
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   +2 more sources
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On two problems related to anti-adjacency (eccentricity) matrix

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On the eigenvalue and energy of extended adjacency matrix

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DAGCRN: Graph convolutional recurrent network for traffic forecasting with dynamic adjacency matrix

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