Why Deep Learning needs to be performed in Graphical representations? Why do we bother about devising new Deep Learning methods, which is to be applied on graphical representation of data? Why not use the traditional Deep Learning methods in the adjacency matrix representation of graphs?

Same could have been said about image data, but CNNs were born. Models that exploit the structure of the underlying data are likely to be more successful than generic methods.
