Abstract: In this paper we present methods for downsampling datasets defined on graphs (i.e., graph-signals) by extending downsampling results for traditional N-dimensional signals. In particular, we ...

Abstract: The state-of-the-art downsampling method for graph signals has been constructed by using maximum spanning trees (MSTs) of the graphs. For the graph signals defined on unweighted densely ...

install pytorch_wavelets git clone https://github.com/fbcotter/pytorch_wavelets cd pytorch_wavelets pip install . Please refer for more details: https://github.com ...

One of the central aspects of U-Nets are up- and downsampling operations: In the encoder portion, the features are iteratively downsampled, before they are recombined with their later upsampled ...