Where 𝑥 𝑒 𝑛 is feature of the n th edge and 𝑤 𝑛 𝐸 is the n th weight embedding. This amalgamation of self-attention and positional encodings empowers Graphormer to excel in a variety of graph-related tasks due to its ability to capture the complexities of graphs and extract highly expressive representations from graph-structured data. 46 Spectral Loss Function.