In this paper, we introduce a unique canonical visual matrix representation that only depends on a graph's topological information, so that two structurally identical graphs will have exactly the same ...

Add a description, image, and links to the adjacency-matrix-graph topic page so that developers can more easily learn about it.

To obtain the optimal graph adjacency matrices that more effectively reflect the time-varying spatial relationships in the short term, an adaptive graph structure learning component is constructed, ...

In this letter, we propose a visibility graph (VG)-based adjacency matrix representation of LS in conjunction with a residual deep neural network (ResNet) for accurate detection of COPD, namely, the ...