... the graph signal processing framework as follows: graph theory random data on graphs big data on graphs signal processing on graphs machine learning on graphs graph topology learning systems on graphs vertex-frequency estimation graph neural networks graphs and tensors Graphs...

..., and it is shown that tensors (multidimensional data arrays) can be treated as a special class of graph signals, whereby the graph vertices reside on a high-dimensional regular lattice structure. Finally, the concept of graph tensor networks is shown to provide a unifying framework for learning of big data...