Transformers analyse sentences by assigning importance to each word in relation to others, helping them predict or generate the next words in a sentence. This 'attention mechanism' evaluates pairwise interactions between all tokens in a sequence, and these interactions can be seen as edges in a complete graph. Thus, Transformers can be thought of as graph-based models where tokens represent nodes and attention weights represent edges