This article proposes the augmentation of the adjacency model of networks for graph signal processing. It is assumed that no information about the network is available, apart from the initial ...

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In this paper, we propose a graph convolution network based clustering model, namely, Embedding Graph Auto-Encoder with JOint Clustering via Adjacency Sharing (\textit{EGAE-JOCAS}). As for the ...

Detecting gene breakpoints in noisy genome sequences using position-annotated colored de-Bruijn graphs Fiedler, Lisa; Matthias Bernt; Martin Middendorf and Peter F. Stadler BackgroundIdentifying the ...

Similarly, the proposed extended-adjacency matrix depends on the diffusion scale, which enables the definition of a scale-dependent graph Fourier transform. We conduct theoretical analyses of both the ...