We consider five distinct element embeddings: Magpie, Mat2vec, Megnet16, Skipatom, and Oliynyk. A random embedding of 200 dimensions is used to act as a control with no embedded chemical information, while still providing a unique representation for each element. The dimensionality of the embedding vectors is 22, 200, 16, 44, 200 for Magpie, Mat2vec, Megnet16, Oliynyk, and Skipatom, respectively. For a comprehensive analysis, 3000 data points were randomly selected for each of the four categories: standard, missing, interesting, and unlikely. These data points are transformed into two-dimensional vectors using the specified dimensionality reduction methods. The resulting embeddings are visually represented for binary, ternary, and quaternary compounds in Figure , Figure , and Figure , respectively.