(ibuprofen, treats, ?)
2D embedding space
The final output layer is usually linear, which rigidly limits the reachable solutions (here illustrated on distributions).
Necessary embedding dimensions for different objectives
Sufficient embedding dimension for sign and ranking realisability
See paper for details. Necessary embedding dimensions quickly become unrealistic for large graphs.
Equipping models with this layer improves their performance on large and dense datasets.