  We present a novel method of associating Euclidean features to simplicial
complexes, providing a way to use them as input to statistical and machine
learning tools. This method extends the node2vec algorithm to simplices of
higher dimensions, providing insight into the structure of a simplicial
complex, or into the higher-order interactions in a graph.
