[D] Can GNNs be used as model for all types of data?

Since it seems like almost every dataset can be converted to a graph :

1. Tabular - Nodes as rows with no edges between them
2. Text and Audio - Nodes as words with directed edges between adjacent words
3. Time Series - Same as 2
4. Image - Nodes as pixels with undirected edges between adjacent pixels (including diagonal)

Even if GNNs can work on all types of data, I think it may be time and space intensive to …

audio data dataset every gnns graph image machinelearning nodes series tabular text them time series types words